Journals starting with pr_1

PR(1) * Analysis of set patterns
* Automatic Computer Measurements of Neurons
* Automatic inspection of x-ray photograph of welding
* Distance Functions on Digital Pictures
* Empyrean, an alternative paradigm for pattern recognition
* Experiments in discrimination and classification
* Feature extraction in pattern recognition
* language for pattern recognition, A
* Learning patterns in terms of other patterns
* Line Extraction and Pattern Detection in a Photograph
* Pattern recognition in biologic classification
* Pattern recognition problems in bubble chamber physics
* Pictorial pattern recognition, Conference
* Recognition experiments with typed numerals from envelopes in the mail
* recursive Bayesian approach to pattern recognition, A
* Reduction of clustering problem to pattern recognition
* Selected pattern recognition projects in Europe
* teachable pattern describing and recognizing program, A
* Translation-tolerant mask matching using noncoherent reflective optics
* vector field approach to cluster analysis, A
20 for PR(1)

PR(10) * Additive estimators for probabilities of correct classification
* Agglomerative clustering using the concept of mutual nearest neighbourhood
* Analysis of a steepest-descent image-matching algorithm
* Application of C-Calculus to Texture Analysis: C-Transforms, An
* Bayes discrimination with mean square error loss
* C-calculus: An elementary approach to some problems in pattern recognition
* characterization of nearest-neighbor rule decision surfaces and a new approach to generate them, A
* Compactification of information in R-color 2-dimensional rectangular patterns
* Computer aided feature selection for enhanced analogue system fault location
* Computer recognition of printed Tamil characters
* Crop Classification with LANDSAT Multispectral Scanner Data
* distribution-free geometric upper bound for the probability of error of a minimum distance classifier, A
* Feature definition in pattern recognition with small sample size
* Feature space transforms for curve detection
* general method for training the committee machine, A
* Identification of Human Face Profiles by Computer
* Image Segmentation Using a Local Extrema Texture Measure
* Inexact matching of line drawings in a syntactic pattern recognition system
* isolated-word recognizer based on grammar-controlled classification processes, An
* Iterative Methods in Image Analysis
* Learning criterion and inductive behaviour
* limited value of cophenetic correlation as a clustering criterion, The
* Locating Straight Line Edge Segments in Outdoor Scenes
* Multiple threshold perceptron
* Natural language understanding by a robot: A pattern recognition problem
* nonparametric classification scheme with mean squared error criterion, A
* Note on a Modified Gradient Method for Image Analysis
* note on ties in voting with the k-NN rule, A
* On Fingerprint Pattern Recognition
* On the optimal number of features in the classification of multivariate Gaussian data
* On-line computer recognition of proposed standard ANSI(USASI) handprinted characters
* SELF: A framework for generation of patterns
* Shape Description using Weighted Symmetric Axis Features
* Shape Description via the Use of Critical Points
* simple learning decision algorithm for character recognition and pattern classification, A
* Simulation of the optical illusions using a spatial filter
* Stability and dimensionality of Karhunen-Loêve multispectral image expansions
* Structural Pattern Recognition, Homomorphisms, and Arrangements
* Switching components and the ambiguity problem in the reconstruction of pictures from their projections
* unified setting for projections in pattern recognition, A
* use of context in pattern recognition, The
* Use of Nuclear Texture Parameters in the Automatic Analysis of Leukocytes, The
* What a Histogram Can Really Tell the Classifier
43 for PR(10)

PR(100) * Active emulation of computer codes with Gaussian processes: Application to remote sensing
* AI-GAN: Asynchronous interactive generative adversarial network for single image rain removal
* Automatic processing of Historical Arabic Documents: A comprehensive Survey
* BLAN: Bi-directional ladder attentive network for facial attribute prediction
* CARs-Lands: An associative classifier for large-scale datasets
* Clustering social audiences in business information networks
* Combining deep generative and discriminative models for Bayesian semi-supervised learning
* Complex Contourlet-CNN for polarimetric SAR image classification
* Concatenation hashing: A relative position preserving method for learning binary codes
* Connectivity-based cylinder detection in unorganized point clouds
* Correlation classifiers based on data perturbation: New formulations and algorithms
* Correlation-aware adversarial domain adaptation and generalization
* Deep cascaded cross-modal correlation learning for fine-grained sketch-based image retrieval
* Deep eigen-filters for face recognition: Feature representation via unsupervised multi-structure filter learning
* Deep ensemble network using distance maps and body part features for skeleton based action recognition
* Deep label refinement for age estimation
* Deep morphological simplification network (MS-Net) for guided registration of brain magnetic resonance images
* Deep reinforcement hashing with redundancy elimination for effective image retrieval
* Deformable face net for pose invariant face recognition
* Discovering influential factors in variational autoencoders
* Disentangled representation learning and residual GAN for age-invariant face verification
* Dissimilarity-based representations for one-class classification on time series
* domain adaptation approach to solve inverse problems in imaging via coupled deep dictionary learning, A
* dual-cue network for multispectral photometric stereo, A
* Dynamic imposter based online instance matching for person search
* Encoding features robust to unseen modes of variation with attentive long short-term memory
* Ensemble Selection based on Classifier Prediction Confidence
* ExprADA: Adversarial domain adaptation for facial expression analysis
* F-measure curves: A tool to visualize classifier performance under imbalance
* Few-shot traffic sign recognition with clustering inductive bias and random neural network
* fusion network for road detection via spatial propagation and spatial transformation, A
* Generalized support vector data description for anomaly detection
* Graph regularized low-rank representation for submodule clustering
* Handwriting posture prediction based on unsupervised model
* Human activity recognition from UAV-captured video sequences
* Joint temporal context exploitation and active learning for video segmentation
* Locality-constrained affine subspace coding for image classification and retrieval
* MDFN: Multi-scale deep feature learning network for object detection
* MeMu: Metric Correlation Siamese Network and Multi-Class Negative Sampling for Visual Tracking
* MobileFAN: Transferring deep hidden representation for face alignment
* Monocular pedestrian orientation estimation based on deep 2D-3D feedforward
* No-reference mesh visual quality assessment via ensemble of convolutional neural networks and compact multi-linear pooling
* No-reference stereoscopic image quality assessment using a multi-task CNN and registered distortion representation
* Noise-robust dictionary learning with slack block-Diagonal structure for face recognition
* Non-rigid object tracking via deep multi-scale spatial-temporal discriminative saliency maps
* novel classification-selection approach for the self updating of template-based face recognition systems, A
* paired sparse representation model for robust face recognition from a single sample, A
* Patched-tube unitary transform for robust tensor completion
* Prototype learning and collaborative representation using Grassmann manifolds for image set classification
* repeatable and robust local reference frame for 3D surface matching, A
* robust statistics approach for plane detection in unorganized point clouds, A
* Semi-supervised cross-modal image generation with generative adversarial networks
* Semi-supervised robust deep neural networks for multi-label image classification
* Sign consistency for the linear programming discriminant rule
* Statistical bootstrap-based principal mode component analysis for dynamic background subtraction
* Structured self-attention architecture for graph-level representation learning
* Systematic review of 3D facial expression recognition methods
* Training data independent image registration using generative adversarial networks and domain adaptation
* Transfer learning-based discriminative correlation filter for visual tracking
* Transferable heterogeneous feature subspace learning for JPEG mismatched steganalysis
* UNIC: A fast nonparametric clustering
* Video super-resolution via pre-frame constrained and deep-feature enhanced sparse reconstruction
* Wavelet-based segmentation on the sphere
* Writer-aware CNN for parsimonious HMM-based offline handwritten Chinese text recognition
64 for PR(100)

PR(101) * Contextual deconvolution network for semantic segmentation
* Discriminative distribution alignment: A unified framework for heterogeneous domain adaptation
* Enhancing deep neural networks via multiple kernel learning
* Ensemble adversarial black-box attacks against deep learning systems
* Fuzzy directional enlacement landscapes for the evaluation of complex spatial relations
* Identifying the best data-driven feature selection method for boosting reproducibility in classification tasks
* Image analysis by log-polar Exponent-Fourier moments
* Multi-task CNN for restoring corrupted fingerprint images
* Three-step action search networks with deep Q-learning for real-time object tracking
* Towards explaining anomalies: A deep Taylor decomposition of one-class models
* UcoSLAM: Simultaneous localization and mapping by fusion of keypoints and squared planar markers
11 for PR(101)

PR(102) * Abnormality detection in retinal image by individualized background learning
* accelerated correlation filter tracker, An
* Appropriateness of performance indices for imbalanced data classification: An analysis
* Auto-weighted multi-view co-clustering via fast matrix factorization
* Blind single image super-resolution with a mixture of deep networks
* Deep and joint learning of longitudinal data for Alzheimer's disease prediction
* Deep morphological networks
* DeepCT: A novel deep complex-valued network with learnable transform for video saliency prediction
* Domain adaptive representation learning for facial action unit recognition
* Ensemble deep learning for automated visual classification using EEG signals
* Fingerprint pore matching using deep features
* Guided CNN for generalized zero-shot and open-set recognition using visual and semantic prototypes
* HscoreNet: A Deep network for estrogen and progesterone scoring using breast IHC images
* Identity-aware CycleGAN for face photo-sketch synthesis and recognition
* Image decomposition based matrix regression with applications to robust face recognition
* Invariant subspace learning for time series data based on dynamic time warping distance
* Long video question answering: A Matching-guided Attention Model
* MIMN-DPP: Maximum-information and minimum-noise determinantal point processes for unsupervised hyperspectral band selection
* Multi-Camera Multi-Player Tracking with Deep Player Identification in Sports Video
* Multi-scale differential feature for ECG biometrics with collective matrix factorization
* novel density-based clustering algorithm using nearest neighbor graph, A
* novel image-dehazing network with a parallel attention block, A
* Object recognition based on convex hull alignment
* Online signature verification using single-template matching with time-series averaging and gradient boosting
* PoseConvGRU: A Monocular Approach for Visual Ego-motion Estimation by Learning
* Quadrilateral Scene Text Detector with Two-Stage Network Architecture, A
* Radial-Based Undersampling for imbalanced data classification
* reduced universum twin support vector machine for class imbalance learning, A
* Scale robust deep oriented-text detection network
* Scene recognition: A comprehensive survey
* Semantic-aware scene recognition
* Smooth robust tensor principal component analysis for compressed sensing of dynamic MRI
* Sparse filtered SIRT for electron tomography
* Synthesizing Talking Faces from Text and Audio: An Autoencoder and Sequence-to-Sequence Convolutional Neural Network
* Threshold optimization for F measure of macro-averaged precision and recall
* Uncertain motion tracking based on convolutional net with semantics estimation and region proposals
* Unsupervised domain adaptive re-identification: Theory and practice
* Unsupervised representation learning by discovering reliable image relations
38 for PR(102)

PR(103) * Adaptive quantile low-rank matrix factorization
* Automatic characteristic-calibrated registration (ACC-REG): Hippocampal surface registration using eigen-graphs
* Automatic soccer field of play registration
* Bit-string representation of a fingerprint image by normalized local structures
* CAGNet: Content-Aware Guidance for Salient Object Detection
* Circular object arrangement using spherical embeddings
* concave optimization algorithm for matching partially overlapping point sets, A
* Corner detection based on shearlet transform and multi-directional structure tensor
* Cross-view hashing via supervised deep discrete matrix factorization
* Deep support vector machine for hyperspectral image classification
* Depth upsampling based on deep edge-aware learning
* DevsNet: Deep Video Saliency Network using Short-term and Long-term Cues
* Driving maneuver early detection via sequence learning from vehicle signals and video images
* Exploring temporal consistency for human pose estimation in videos
* Fast minutiae extractor using neural network
* Frobenius correlation based u-shapelets discovery for time series clustering
* Fundamental sampling patterns for low-rank multi-view data completion
* Fusion of complex networks and randomized neural networks for texture analysis
* Global and local sensitivity guided key salient object re-augmentation for video saliency detection
* Graph convolutional network with structure pooling and joint-wise channel attention for action recognition
* Handling Gaussian blur without deconvolution
* HoPPF: A novel local surface descriptor for 3D object recognition
* Hyper-parameter optimization in classification: To-do or not-to-do
* improved GrabCut on multiscale features, An
* IOS-Net: An inside-to-outside supervision network for scale robust text detection in the wild
* Joint image deblurring and matching with feature-based sparse representation prior
* Learning motion representation for real-time spatio-temporal action localization
* Learning shape and motion representations for view invariant skeleton-based action recognition
* Learning to infer human attention in daily activities
* Learning variable-length representation of words
* LG: A clustering framework supported by point proximity relations
* Modelling visual impressions for Chinese and Pakistani ethnic groups
* New fractional-order Legendre-Fourier moments for pattern recognition applications
* Novel dimensionality reduction approach for unsupervised learning on small datasets
* Online tracking of ants based on deep association metrics: Method, dataset and evaluation
* Open-set face identification with index-of-max hashing by learning
* parallel fuzzy rule-base based decision tree in the framework of map-reduce, A
* Pedestrian detection in underground mines via parallel feature transfer network
* Radical analysis network for learning hierarchies of Chinese characters
* Saliency detection using a deep conditional random field network
* Shallow2Deep: Indoor scene modeling by single image understanding
* Shape-from-focus reconstruction using nonlocal matting Laplacian prior followed by MRF-based refinement
* Simplifying TugGraph using zipping algorithms
* Single image-based head pose estimation with spherical parametrization and 3D morphing
* survey on image and video cosegmentation: Methods, challenges and analyses, A
* Textual data summarization using the Self-Organized Co-Clustering model
* Three-stream fusion network for first-person interaction recognition
* Training bidirectional generative adversarial networks with hints
* TVENet: Temporal variance embedding network for fine-grained action representation
* Unsupervised hashing based on the recovery of subspace structures
* Unsupervised learning of optical flow with patch consistency and occlusion estimation
* Webly-supervised learning for salient object detection
52 for PR(103)

PR(104) * Anisotropic tubular minimal path model with fast marching front freezing scheme
* Biclustering with dominant sets
* Clustering quality metrics for subspace clustering
* CoCNN: RGB-D deep fusion for stereoscopic salient object detection
* Deep imitator: Handwriting calligraphy imitation via deep attention networks
* End-to-end training of CNN ensembles for person re-identification
* Explaining away results in accurate and tolerant template matching
* Exponential sparsity preserving projection with applications to image recognition
* GAN-based person search via deep complementary classifier with center-constrained Triplet loss
* Joint graph regularized dictionary learning and sparse ranking for multi-modal multi-shot person re-identification
* Key protected classification for collaborative learning
* Modality-specific and shared generative adversarial network for cross-modal retrieval
* Multi-focus image fusion based on non-negative sparse representation and patch-level consistency rectification
* Multi-label feature selection with shared common mode
* Overview of deep-learning based methods for salient object detection in videos
* Point set registration with mixture framework and variational inference
* Re-ranking image-text matching by adaptive metric fusion
* Recognizing actions in images by fusing multiple body structure cues
* Remote sensing image segmentation using geodesic-kernel functions and multi-feature spaces
* Robust visual tracking by embedding combination and weighted-gradient optimization
* Semi-supervised network embedding with text information
* SGM-Net: Skeleton-guided multimodal network for action recognition
* Timed-image based deep learning for action recognition in video sequences
* Topic modelling for routine discovery from egocentric photo-streams
* Video semantic segmentation via feature propagation with holistic attention
* Visual domain adaptation based on modified A-distance and sparse filtering
26 for PR(104)

PR(105) * Adaptive iterative attack towards explainable adversarial robustness
* Binary neural networks: A survey
* BrainPrint: EEG biometric identification based on analyzing brain connectivity graphs
* Context from within: Hierarchical context modeling for semantic segmentation
* Deep multi-person kinship matching and recognition for family photos
* Deep quantization generative networks
* Deep transductive network for generalized zero shot learning
* Efficient adaptive inference for deep convolutional neural networks using hierarchical early exits
* Gait recognition invariant to carried objects using alpha blending generative adversarial networks
* Gated CNN: Integrating multi-scale feature layers for object detection
* Graph-based neural networks for explainable image privacy inference
* Heterogenous output regression network for direct face alignment
* Learning Direct Optimization for scene understanding
* Learning EEG Topographical Representation for Classification Via Convolutional Neural Network
* Learning residual refinement network with semantic context representation for real-time saliency object detection
* Optical flow-based structure-from-motion for the reconstruction of epithelial surfaces
* Person identification using EEG channel selection with hybrid flower pollination algorithm
* Projection based weight normalization: Efficient method for optimization on oblique manifold in DNNs
* Reinterpreting CTC training as iterative fitting
* Revisiting spectral clustering for near-convex decomposition of 2D shape
* Robust one-stage object detection with location-aware classifiers
* Robust twin support vector regression based on rescaled Hinge loss
* Scoring disease-microRNA associations by integrating disease hierarchy into graph convolutional networks
* Self-attention driven adversarial similarity learning network
* Simplified unsupervised image translation for semantic segmentation adaptation
* Spectral bounding: Strictly satisfying the 1-Lipschitz property for generative adversarial networks
* Spectral rotation for deep one-step clustering
* Stacked squeeze-and-excitation recurrent residual network for visual-semantic matching
* Supervised deep hashing with a joint deep network
* Supervised dimensionality reduction of proportional data using mixture estimation
* Towards interpretable and robust hand detection via pixel-wise prediction
* Unsupervised feature selection with adaptive multiple graph learning
* Video anomaly detection and localization using motion-field shape description and homogeneity testing
33 for PR(105)

PR(106) * Adaptive ROI generation for video object segmentation using reinforcement learning
* Building outline extraction from ALS point clouds using medial axis transform descriptors
* Can we automate diagrammatic reasoning?
* CNN-based 3D human pose estimation based on projection of depth and ridge data, A
* Data-augmented matched subspace detector for hyperspectral subpixel target detection
* efficient attribute-space connected filter on graphs to reconstruct paths in point-clouds, An
* Ellipse fitting by spatial averaging of random ensembles
* Every node counts: Self-ensembling graph convolutional networks for semi-supervised learning
* Fast matching via ergodic markov chain for super-large graphs
* Graph-based boosting algorithm to learn labeled and unlabeled data
* Improving the performance of lightweight CNNs for binary classification using quadratic mutual information regularization
* Manifold learning for user profiling and identity verification using motion sensors
* Multi-dimensional classification via kNN feature augmentation
* Multi-View Subspace Clustering via Simultaneously Learning the Representation Tensor and Affinity Matrix
* Multistage attention network for image inpainting
* New label propagation algorithm with pairwise constraints
* Non-rigid infrared and visible image registration by enhanced affine transformation
* Nonparallel support vector machine with large margin distribution for pattern classification
* novel online action detection framework from untrimmed video streams, A
* Orthogonal neighborhood preserving discriminant analysis with patch embedding for face recognition
* Probabilistic SVM classifier ensemble selection based on GMDH-type neural network
* Recurrent bag-of-features for visual information analysis
* Scale balance for prototype-based binary quantization
* SMPLR: Deep learning based SMPL reverse for 3D human pose and shape recovery
* Structure alignment of attributes and visual features for cross-dataset person re-identification
* Structure-aware human pose estimation with graph convolutional networks
* survey on deep learning methods for scene flow estimation, A
* U2-Net: Going deeper with nested U-structure for salient object detection
28 for PR(106)

PR(107) * 3DSymm: Robust and Accurate 3D Reflection Symmetry Detection
* Accelerating information entropy-based feature selection using rough set theory with classified nested equivalence classes
* Active contour model for inhomogenous image segmentation based on Jeffreys divergence
* Adaptive core fusion-based density peak clustering for complex data with arbitrary shapes and densities
* Attention and boundary guided salient object detection
* AutoPruner: An end-to-end trainable filter pruning method for efficient deep model inference
* benefits of target relations: A comparison of multitask extensions and classifier chains, The
* Binary coyote optimization algorithm for feature selection
* Complex heterogeneity learning: A theoretical and empirical study
* Cost-sensitive deep forest for price prediction
* Counter-examples generation from a positive unlabeled image dataset
* Covariance descriptors on a Gaussian manifold and their application to image set classification
* Cylinders extraction in non-oriented point clouds as a clustering problem
* Deep co-training for semi-supervised image segmentation
* Deep Matching Network for Handwritten Chinese Character Recognition
* Defocus map estimation from a single image using improved likelihood feature and edge-based basis
* Density peaks clustering based on density backbone and fuzzy neighborhood
* Depth image super-resolution using correlation-controlled color guidance and multi-scale symmetric network
* Detection of rotational symmetry in curves represented by the slope chain code
* Dirichlet Variational Autoencoder
* Distractor-aware discrimination learning for online multiple object tracking
* divide-and-conquer strategy for facial landmark detection using dual-task CNN architecture, A
* Dynamic graph convolutional network for multi-video summarization
* Efficient sampling-based energy function evaluation for ensemble optimization using simulated annealing
* efficient volume repairing method by using a modified Allen-Cahn equation, An
* Enhanced automatic twin support vector machine for imbalanced data classification
* Face re-identification challenge: Are face recognition models good enough?
* Fast sparse coding networks for anomaly detection in videos
* Generative adversarial classifier for handwriting characters super-resolution
* Generative attention adversarial classification network for unsupervised domain adaptation
* Gesture Recognition Based on Deep Deformable 3D Convolutional Neural Networks
* Graph-based parallel large scale structure from motion
* Handling incomplete heterogeneous data using VAEs
* Hierarchical dense recursive network for image super-resolution
* Joint and individual matrix factorization hashing for large-scale cross-modal retrieval
* Learning discriminative features via weights-biased softmax loss
* Learning spatial-temporal deformable networks for unconstrained face alignment and tracking in videos
* Learning to complete partial observations from unpaired prior knowledge
* linear multivariate binary decision tree classifier based on K-means splitting, A
* Low-rank quaternion tensor completion for recovering color videos and images
* Modality adversarial neural network for visible-thermal person re-identification
* Multi-head enhanced self-attention network for novelty detection
* Multi-Label classification of multi-modality skin lesion via hyper-connected convolutional neural network
* Multiple strong and balanced cluster-based ensemble of deep learners
* Neural network with multiple connection weights
* new unified method for detecting text from marathon runners and sports players in video (PR-D-19-01078R2), A
* Nonlinear dimensionality reduction for clustering
* novel hybrid approach for crack detection, A
* novel strategy to balance the results of cross-modal hashing, A
* On the stability of persistent entropy and new summary functions for topological data analysis
* Play and rewind: Context-aware video temporal action proposals
* Point attention network for semantic segmentation of 3D point clouds
* Precise detection of Chinese characters in historical documents with deep reinforcement learning
* robust matching pursuit algorithm using information theoretic learning, A
* Self-adaptive manifold discriminant analysis for feature extraction from hyperspectral imagery
* Self-supervised deep reconstruction of mixed strip-shredded text documents
* Semantic segmentation using stride spatial pyramid pooling and dual attention decoder
* Semi-supervised elastic manifold embedding with deep learning architecture
* Semi-supervised learning framework based on statistical analysis for image set classification
* Skeleton-based action recognition with hierarchical spatial reasoning and temporal stack learning network
* Sparse regularized low-rank tensor regression with applications in genomic data analysis
* sparsity-promoting image decomposition model for depth recovery, A
* Towards more discriminative features for texture recognition
* TPM: Multiple object tracking with tracklet-plane matching
* Two-stage knowledge transfer framework for image classification
* Visual tracking by dynamic matching-classification network switching
* Zero-shot Handwritten Chinese Character Recognition with hierarchical decomposition embedding
67 for PR(107)

PR(108) * Abnormal Event Detection in Surveillance Videos Based on Low-Rank and Compact Coefficient Dictionary Learning
* Accurate, data-efficient, unconstrained text recognition with convolutional neural networks
* Bringing semantics into word image representation
* Cross-modal knowledge reasoning for knowledge-based visual question answering
* Density peak clustering based on relative density relationship
* Discovering and incorporating latent target-domains for domain adaptation
* Diverse training dataset generation based on a multi-objective optimization for semi-Supervised classification
* Fast and incremental algorithms for exponential semi-supervised discriminant embedding
* Few-Shot Activity Recognition with Cross-Modal Memory Network
* Freely typed keystroke dynamics-based user authentication for mobile devices based on heterogeneous features
* Generalized low-rank approximation of matrices based on multiple transformation pairs
* Geometric rectification of document images using adversarial gated unwarping network
* HCNN-PSI: A hybrid CNN with partial semantic information for space target recognition
* Image segmentation using dense and sparse hierarchies of superpixels
* mathematical programming approach for integrated multiple linear regression subset selection and validation, A
* Multi-view subspace learning via bidirectional sparsity
* MuLTReNets: Multilingual text recognition networks for simultaneous script identification and handwriting recognition
* Mutual information based feature subset selection in multivariate time series classification
* On unsupervised simultaneous kernel learning and data clustering
* One-vs-One classification for deep neural networks
* Online kernel classification with adjustable bandwidth using control-based learning approach
* Relational graph neural network for situation recognition
* Rich heterogeneous information preserving network representation learning
* SCUT-HCCDoc: A new benchmark dataset of handwritten Chinese text in unconstrained camera-captured documents
* SEMEDA: Enhancing segmentation precision with semantic edge aware loss
* Sensor-based and vision-based human activity recognition: A comprehensive survey
* Spectral clustering via ensemble deep autoencoder learning (SC-EDAE)
* Transductive semi-supervised metric learning for person re-identification
* View-specific subspace learning and re-ranking for semi-supervised person re-identification
29 for PR(108)

PR(109) * Active k-labelsets ensemble for multi-label classification
* Blind image deblurring based on the sparsity of patch minimum information
* BLOCK-DBSCAN: Fast clustering for large scale data
* CADN: A weakly supervised learning-based category-aware object detection network for surface defect detection
* Complex image processing with less data: Document image binarization by integrating multiple pre-trained U-Net modules
* comprehensive survey of multi-view video summarization, A
* Convolutional kernels with an element-wise weighting mechanism for identifying abnormal brain connectivity patterns
* DenMune: Density peak based clustering using mutual nearest neighbors
* DPNet: Detail-preserving network for high quality monocular depth estimation
* Efficient densely connected convolutional neural networks
* Generalisations of stochastic supervision models
* generic shift-norm-activation approach for deep learning, A
* GridMix: Strong regularization through local context mapping
* Implementing transfer learning across different datasets for time series forecasting
* Iterative local re-ranking with attribute guided synthesis for face sketch recognition
* Learning modulation filter networks for weak signal detection in noise
* Local minima found in the subparameter space can be effective for ensembles of deep convolutional neural networks
* Nonlocal patch similarity based heterogeneous remote sensing change detection
* occlusion-resistant circle detector using inscribed triangles, An
* Parametric recurrence quantification analysis of autoregressive processes for pattern recognition in multichannel electroencephalographic data
* Probabilistic homogeneity for document image segmentation
* Semi-automatic data annotation guided by feature space projection
* SLiKER: Sparse loss induced kernel ensemble regression
* Solving large-scale support vector ordinal regression with asynchronous parallel coordinate descent algorithms
* theoretical justification of warping generation for dewarping using CNN, A
* Topological optimization of the DenseNet with pretrained-weights inheritance and genetic channel selection
* Towards using count-level weak supervision for crowd counting
* Two-phase Dynamic Routing for Micro and Macro-level Equivariance in Multi-Column Capsule Networks
* Video saliency prediction using enhanced spatiotemporal alignment network
* Weakly supervised image classification and pointwise localization with graph convolutional networks
* Weighted bilateral K-means algorithm for fast co-clustering and fast spectral clustering
31 for PR(109)

PR(11) * algorithm to detect linearly separable clusters of binary patterns, An
* Class of Robust Edge Detectors Based on Latin Squares, A
* Classification of atypical cells in the automatic cytoscreening for cervical cancer
* Comments on single-link characteristics of a mode-seeking clustering algorithm
* Computer Analysis of Dynamic Scenes Containing Curvilinear Figures
* Design and evaluation of a receptor
* Determination of optimal dimensionality in statistical pattern classification
* Distance preserving linear feature selection
* Entropy minimax expansions for waveform analysis
* experimental printed circuit board drilling system automated by pattern recognition, An
* Feature selection for best mean square approximation of class densities
* heuristic clustering algorithm using union of overlapping pattern-cells, A
* Hierarchical agglomerative clustering procedure
* Image data compression using autoregressive time series models
* Investigation of multidimensional data using the interactive pattern analysis system ISPAHAN
* Learning with a mutualistic teacher
* Linear feature selection with applications
* matrix approach to character recognition, A
* model for dimension reduction in pattern recognition using continuous data, A
* Note on Polygonal and Elliptical Approximation of Mechanical Parts, A
* note on regular kolam array grammars generating right triangles, A
* On the classification of congenital abnormalities from hand radiographs
* On the clustering of multidimensional pictorial data
* orientation free study of handprinted characters, An
* Pallel parsing of tree languages for syntactic pattern recognition
* Parallel-Serial Recognition Cone System for Perception: Some Test Results, A
* percolation method for an efficient grouping of data, The
* Preprocessing for Chinese character recognition and global classification of handwritten Chinese characters
* Processing Spectrograms as Digital Pictures to Separate Competing Line Signatures
* Rectangular Region Coding for Image Data Compression
* Scene Description Method Using Three Dimensional Information, A
* Single-link characteristics of a mode-seeking clustering algorithm
* Skeletal categories
* Some aspects of error bounds in feature selection
* Some Experiments in Image Segmentation by Clustering of Local Feature Values
* Some Experiments on Variable Thresholding
* Some nonlinear operators for picture processing
* Some procedures for function approximation based on the use of sample data and their application in heuristic methods for solving practical problems
* Some statistical bounds for the accuracy of distance-based pattern classification
* Stability and stationarity of cursive handwriting
* Synthesising cluster operators
* Texture Pattern Image Generation by Regular Markov Chain
* Validity studies in clustering methodologies
43 for PR(11)

PR(110) * AGUnet: Annotation-guided U-net for fast one-shot video object segmentation
* Application of binocular disparity and receptive field dynamics: A biologically-inspired model for contour detection
* Automatically discriminating and localizing COVID-19 from community-acquired pneumonia on chest X-rays
* Cascaded hierarchical atrous spatial pyramid pooling module for semantic segmentation
* Challenging tough samples in unsupervised domain adaptation
* CNAK: Cluster number assisted K-means
* Constructing multilayer locality-constrained matrix regression framework for noise robust face super-resolution
* Coupled adversarial learning for semi-supervised heterogeneous face recognition
* Cross-modality deep feature learning for brain tumor segmentation
* Cross-view classification by joint adversarial learning and class-specificity distribution
* DecomVQANet: Decomposing visual question answering deep network via tensor decomposition and regression
* Deep features for person re-identification on metric learning
* Deep multi-task learning with relational attention for business success prediction
* Deep snippet selective network for weakly supervised temporal action localization
* Efficient semantic segmentation with pyramidal fusion
* Entropy based dictionary learning for image classification
* Explainable skin lesion diagnosis using taxonomies
* Explaining the semantics capturing capability of scene graph generation models
* Exploiting textual queries for dynamically visual disambiguation
* Goal driven network pruning for object recognition
* Hypergraph convolution and hypergraph attention
* Learning adaptive geometry for unsupervised domain adaptation
* Learning representation from multiple media domains for enhanced event discovery
* Lightweight dynamic conditional GAN with pyramid attention for text-to-image synthesis
* LOW: Training deep neural networks by learning optimal sample weights
* Multi-objective adaptive differential evolution for SVM/SVR hyperparameters selection
* Multi-scale deep relational reasoning for facial kinship verification
* Multi-scale structural kernel representation for object detection
* Multimodal subspace support vector data description
* Multiple attentional pyramid networks for Chinese herbal recognition
* novel error-correcting output codes based on genetic programming and ternary digit operators, A
* Online feature selection system for big data classification based on multi-objective automated negotiation
* Place perception from the fusion of different image representation
* Position-aware self-attention based neural sequence labeling
* Probabilistic framework for solving visual dialog
* Progressive sample mining and representation learning for one-shot person re-identification
* prototype-based SPD matrix network for domain adaptation EEG emotion recognition, A
* Real-time Lexicon-free Scene Text Retrieval
* Robust kernelized graph-based learning
* Sparse motion fields for trajectory prediction
* Structured graph learning for clustering and semi-supervised classification
* Tackling mode collapse in multi-generator GANs with orthogonal vectors
* TextMountain: Accurate scene text detection via instance segmentation
* Towards Non-I.I.D. image classification: A dataset and baselines
* Understanding adversarial attacks on deep learning based medical image analysis systems
* Unified Cross-domain Classification via Geometric and Statistical Adaptations
* Universal adversarial perturbations against object detection
* Unsupervised text-to-image synthesis
* Video super-resolution based on a spatio-temporal matching network
* Virtual sample-based deep metric learning using discriminant analysis
50 for PR(110)

PR(111) * Adaptive feature fusion for visual object tracking
* Adversarial co-distillation learning for image recognition
* Alignment-free cancelable fingerprint templates with dual protection
* All-in-focus synthetic aperture imaging using generative adversarial network-based semantic inpainting
* Attribute and instance weighted naive Bayes
* BFS-Tree of ranking references for unsupervised manifold learning, A
* Biometric key generation based on generated intervals and two-layer error correcting technique
* Black-box attack against handwritten signature verification with region-restricted adversarial perturbations
* Bounded manifold completion
* Cluster-wise unsupervised hashing for cross-modal similarity search
* Context-aware network for RGB-D salient object detection
* Deep feature augmentation for occluded image classification
* Deep Rényi entropy graph kernel
* Discriminative subspace matrix factorization for multiview data clustering
* Dual subspace discriminative projection learning
* EKENet: Efficient knowledge enhanced network for real-time scene parsing
* Enhanced low-rank constraint for temporal subspace clustering and its acceleration scheme
* Enhancing the alignment between target words and corresponding frames for video captioning
* Expand globally, shrink locally: Discriminant multi-label learning with missing labels
* Exploring global diverse attention via pairwise temporal relation for video summarization
* Face illumination recovery for the deep learning feature under severe illumination variations
* Fast high-precision ellipse detection method
* Faster SVM training via conjugate SMO
* FeatFlow: Learning geometric features for 3D motion estimation
* Guided image filtering in shape-from-focus: A comparative analysis
* Hypergraph video pedestrian re-identification based on posture structure relationship and action constraints
* Hyperspectral Remote Sensing Image Classification Based on Tighter Random Projection with Minimal Intra-Class Variance Algorithm
* Image denoising using complex-valued deep CNN
* Joint architecture and knowledge distillation in CNN for Chinese text recognition
* Joint discriminative feature learning for multimodal finger recognition
* KDD: A kernel density based descriptor for 3D point clouds
* Linear classifier combination via multiple potential functions
* Local structured feature learning with dynamic maximum entropy graph
* Mixed-precision quantized neural networks with progressively decreasing bitwidth
* new localization method for epileptic seizure onset zones based on time-frequency and clustering analysis, A
* Online incremental hierarchical classification resonance network
* Pairwise dependence-based unsupervised feature selection
* Ranking list preservation for feature matching
* ReLaText: Exploiting visual relationships for arbitrary-shaped scene text detection with graph convolutional networks
* Representative null space LDA for discriminative dimensionality reduction
* review of lane detection methods based on deep learning, A
* Robust line segment matching via reweighted random walks on the homography graph
* Robust semi-supervised nonnegative matrix factorization for image clustering
* Robust sparse coding for one-class classification based on correntropy and logarithmic penalty function
* Semisupervised charting for spectral multimodal manifold learning and alignment
* SI(FS)2: Fast simultaneous instance and feature selection for datasets with many features
* Spectrum-aware discriminative deep feature learning for multi-spectral face recognition
* Speed-up and multi-view extensions to subclass discriminant analysis
* STAN: A sequential transformation attention-based network for scene text recognition
* Supervised quality evaluation of binary partition trees for object segmentation
* Surrogate network-based sparseness hyper-parameter optimization for deep expression recognition
* Temporal filtering networks for online action detection
* three-step classification framework to handle complex data distribution for radar UAV detection, A
* trace kernel bandwidth criterion for support vector data description, The
54 for PR(111)

PR(112) * *Biennial Pattern Recognition Journal Awards 2017 and 2018
* 3D-GAT: 3D-Guided adversarial transform network for person re-identification in unseen domains
* Automated segmentation of the optic disc from fundus images using an asymmetric deep learning network
* Averaging GPS segments competition 2019
* Behavior regularized prototypical networks for semi-supervised few-shot image classification
* Candidate fusion: Integrating language modelling into a sequence-to-sequence handwritten word recognition architecture
* CenterNet++ model for ship detection in SAR images, A
* Client-specific anomaly detection for face presentation attack detection
* Compact class-conditional domain invariant learning for multi-class domain adaptation
* Connectivity-based convolutional neural network for classifying point clouds
* CPM: A general feature dependency pattern mining framework for contrast multivariate time series
* Cross-modal discriminant adversarial network
* Deep mutual learning for visual object tracking
* Deep residual pooling network for texture recognition
* Dynamic spectral residual superpixels
* EACOFT: An energy-aware correlation filter for visual tracking
* EF-Net: A novel enhancement and fusion network for RGB-D saliency detection
* Enhancing in-tree-based clustering via distance ensemble and kernelization
* Exploiting structured high-level knowledge for domain-specific visual classification
* Fast hard negative mining for deep metric learning
* Feature selection using bare-bones particle swarm optimization with mutual information
* GraphAIR: Graph representation learning with neighborhood aggregation and interaction
* Heterogeneous ensemble selection for evolving data streams
* hierarchical weighted low-rank representation for image clustering and classification, A
* Hyperspectral image classification via discriminative convolutional neural network with an improved triplet loss
* Image super-resolution via channel attention and spatial graph convolutional network
* Imprecise Gaussian discriminant classification
* Infrared small target detection via adaptive M-estimator ring top-hat transformation
* IoU-uniform R-CNN: Breaking through the limitations of RPN
* Joint adaptive manifold and embedding learning for unsupervised feature selection
* Label group diffusion for image and image pair segmentation
* Learning to transfer focus of graph neural network for scene graph parsing
* Linguistically-aware attention for reducing the semantic gap in vision-language tasks
* LSTM based trajectory prediction model for cyclist utilizing multiple interactions with environment
* Machine learning based feature selection and knowledge reasoning for CBR system under big data
* MobileGCN applied to low-dimensional node feature learning
* Multi-view content-based mammogram retrieval using dynamic similarity and locality sensitive hashing
* Multicamera pedestrian detection using logic minimization
* Multiple discriminant analysis for collaborative representation-based classification
* Neural random subspace
* NMF with feature relationship preservation penalty term for clustering problems
* novel dimension reduction and dictionary learning framework for high-dimensional data classification, A
* OAENet: Oriented attention ensemble for accurate facial expression recognition
* On finite mixture modeling and model-based clustering of directed weighted multilayer networks
* On parameterizing higher-order motion for behaviour recognition
* Plant leaf recognition by integrating shape and texture features
* plug-in attribute correction module for generalized zero-shot learning, A
* Real-time sufficient dimension reduction through principal least squares support vector machines
* Reconstruction by inpainting for visual anomaly detection
* Robust visual tracking via spatio-temporal adaptive and channel selective correlation filters
* Scale variance minimization for unsupervised domain adaptation in image segmentation
* Semi-supervised blockwisely architecture search for efficient lightweight generative adversarial network
* Semi-supervised kernel matrix learning using adaptive constraint-based seed propagation
* Siamese networks with distractor-reduction method for long-term visual object tracking
* simple graph embedding for anomaly detection in a stream of heterogeneous labeled graphs, A
* simulated annealing algorithm with a dual perturbation method for clustering, A
* Single-shot 3D multi-person pose estimation in complex images
* Sparsely-labeled source assisted domain adaptation
* Stable feature selection using copula based mutual information
* SVMs multi-class loss feedback based discriminative dictionary learning for image classification
* Temperature network for few-shot learning with distribution-aware large-margin metric
* Time-series averaging and local stability-weighted dynamic time warping for online signature verification
* Training deep retrieval models with noisy datasets: Bag exponential loss
* Type-reduced vague possibilistic fuzzy clustering for medical images
* Unsupervised deep hashing with node representation for image retrieval
* Unsupervised learning framework for interest point detection and description via properties optimization
* Variational posterior approximation using stochastic gradient ascent with adaptive stepsize
67 for PR(112)

PR(113) * AG3line: Active grouping and geometry-gradient combined validation for fast line segment extraction
* BCMM: A novel post-based augmentation representation for early rumour detection on social media
* Change-point detection in hierarchical circadian models
* Collaborative representation with curriculum classifier boosting for unsupervised domain adaptation
* Compact learning for multi-label classification
* Contrast-weighted dictionary learning based saliency detection for VHR optical remote sensing images
* Copycat CNN: Are random non-Labeled data enough to steal knowledge from black-box models?
* Coupled-dynamic learning for vision and language: Exploring Interaction between different tasks
* Crossover-Net: Leveraging vertical-horizontal crossover relation for robust medical image segmentation
* Deep neural network oriented evolutionary parametric eye modeling
* Deep Video Code for Efficient Face Video Retrieval
* End-to-End Video Text Detection with Online Tracking
* evidential clustering algorithm by finding belief-peaks and disjoint neighborhoods, An
* Exploring a unified low rank representation for multi-focus image fusion
* Inferring spatial relations from textual descriptions of images
* Interwoven texture-based description of interest points in images
* Joint direct estimation of 3D geometry and 3D motion using spatio temporal gradients
* Kernel two-dimensional ridge regression for subspace clustering
* Learning efficient, explainable and discriminative representations for pulmonary nodules classification
* Low-rank adaptive graph embedding for unsupervised feature extraction
* Low-rank tensor ring learning for multi-linear regression
* MetaCOVID: A Siamese neural network framework with contrastive loss for n-shot diagnosis of COVID-19 patients
* Momentum contrastive learning for few-shot COVID-19 diagnosis from chest CT images
* MPPCANet: A Feedforward Learning Strategy for Few-Shot Image Classification
* Multi-task learning for simultaneous script identification and keyword spotting in document images
* Projected fuzzy C-means clustering with locality preservation
* Reconstruction regularized low-rank subspace learning for cross-modal retrieval
* Rethinking data collection for person re-identification: Active redundancy reduction
* Synergistic learning of lung lobe segmentation and hierarchical multi-instance classification for automated severity assessment of COVID-19 in CT images
* Towards purchase prediction: A transaction-based setting and a graph-based method leveraging price information
* View-invariant action recognition via Unsupervised AttentioN Transfer (UANT)
* Visual place recognition: A survey from deep learning perspective
* Visual SLAM for robot navigation in healthcare facility
* Weakly-supervised action localization via embedding-modeling iterative optimization
34 for PR(113)

PR(114) * ACN: Occlusion-tolerant face alignment by attentional combination of heterogeneous regression networks
* Adaptive super-resolution for person re-identification with low-resolution images
* Assessing partially ordered clustering in a multicriteria comparative context
* Automatic analysis of artistic paintings using information-based measures
* Automatic COVID-19 lung infected region segmentation and measurement using CT-scans images
* Automatic medical image interpretation: State of the art and future directions
* Automatic pancreas segmentation based on lightweight DCNN modules and spatial prior propagation
* Bound estimation-based safe acceleration for maximum margin of twin spheres machine with pinball loss
* Deep ancient Roman Republican coin classification via feature fusion and attention
* Discriminative shared transform learning for sketch to image matching
* Dual space latent representation learning for unsupervised feature selection
* efficient computational algorithm for Hausdorff distance based on points-ruling-out and systematic random sampling, An
* generalized weighted distance k-Nearest Neighbor for multi-label problems, A
* GuessWhich? Visual dialog with attentive memory network
* Hierarchical distillation learning for scalable person search
* Internet financing credit risk evaluation using multiple structural interacting elastic net feature selection
* Joint stroke classification and text line grouping in online handwritten documents with edge pooling attention networks
* Learning deep discriminative embeddings via joint rescaled features and log-probability centers
* Learning Robust Feature Transformation for Domain Adaptation
* Memetic differential evolution methods for clustering problems
* Multi-task contrastive learning for automatic CT and X-ray diagnosis of COVID-19
* Multi-task face analyses through adversarial learning
* Multi-task learning for gait-based identity recognition and emotion recognition using attention enhanced temporal graph convolutional network
* new EM algorithm for flexibly tied GMMs with large number of components, A
* Online anomaly detection in surveillance videos with asymptotic bound on false alarm rate
* Optical flow and scene flow estimation: A survey
* Refining a k-nearest neighbor graph for a computationally efficient spectral clustering
* Spatial context-aware network for salient object detection
* Thermodynamic motif analysis for directed stock market networks
* View-graph construction framework for robust and efficient structure-from-motion
30 for PR(114)

PR(115) * 3D-CenterNet: 3D object detection network for point clouds with center estimation priority
* Aberrance suppressed spatio-temporal correlation filters for visual object tracking
* adversarial human pose estimation network injected with graph structure, An
* Boundary-induced and scene-aggregated network for monocular depth prediction
* Brain segmentation based on multi-atlas and diffeomorphism guided 3D fully convolutional network ensembles
* Complex common spatial patterns on time-frequency decomposed EEG for brain-computer interface
* Divergent-convergent attention for image captioning
* Dyadic Relational Graph Convolutional Networks for Skeleton-Based Human Interaction Recognition
* end-to-end framework for unconstrained monocular 3D hand pose estimation, An
* Face alignment using two-stage cascaded pose regression and mirror error correction
* Few-shot prototype alignment regularization network for document image layout segementation
* FleBiC: Learning classifiers from high-dimensional biomedical data using discriminative biclusters with non-constant patterns
* Fooling deep neural detection networks with adaptive object-oriented adversarial perturbation
* Geometric moment invariants to spatial transform and N-fold symmetric blur
* GPNet: Gated pyramid network for semantic segmentation
* hierarchical sampling based triplet network for fine-grained image classification, A
* Joint feature extraction and classification in a unified framework for cost-sensitive face recognition
* Jointly learning compact multi-view hash codes for few-shot FKP recognition
* LCU-Net: A novel low-cost U-Net for environmental microorganism image segmentation
* Mean-shift outlier detection and filtering
* Multimodal fusion for indoor sound source localization
* Multivariate time series clustering based on complex network
* new approach for optimal offline time-series segmentation with error bound guarantee, A
* novel consensus learning approach to incomplete multi-view clustering, A
* Pedestrian detection with super-resolution reconstruction for low-quality image
* Practical globally optimal consensus maximization by Branch-and-bound based on interval arithmetic
* Pruning by Explaining: A Novel Criterion for Deep Neural Network Pruning
* Quaternionic extended local binary pattern with adaptive structural pyramid pooling for color image representation
* Residual multi-task learning for facial landmark localization and expression recognition
* Robust and discriminative image representation: Fractional-Order Jacobi-Fourier moments
* Scalable multi-label canonical correlation analysis for cross-modal retrieval
* Skeletonisation algorithms with theoretical guarantees for unorganised point clouds with high levels of noise
* survey on matching strategies for boundary image comparison and evaluation, A
* Tight lower bounds for dynamic time warping
* Time series cluster kernels to exploit informative missingness and incomplete label information
* Tripool: Graph triplet pooling for 3D skeleton-based action recognition
* Unified unsupervised and semi-supervised domain adaptation network for cross-scenario face anti-spoofing
* Vicinal and categorical domain adaptation
* Weakly-supervised semantic segmentation with saliency and incremental supervision updating
39 for PR(115)

PR(116) * 2D Wasserstein loss for robust facial landmark detection
* Adaptive, Hybrid Feature Selection (AHFS)
* Attention-shift based deep neural network for fine-grained visual categorization
* Compensating over- and underexposure in optical target pose determination
* Deep-seated features histogram: A novel image retrieval method
* Discriminative feature alignment: Improving transferability of unsupervised domain adaptation by Gaussian-guided latent alignment
* Global motion estimation with iterative optimization-based independent univariate model for action recognition
* Improved Multi-Scale Dynamic Feature Encoding Network for Image Demoiréing
* Iterative sparse and deep learning for accurate diagnosis of Alzheimer's disease
* kernel path algorithm for general parametric quadratic programming problem, A
* Learning deep part-aware embedding for person retrieval
* Local descriptor-based multi-prototype network for few-shot Learning
* MEMF: Multi-level-attention embedding and multi-layer-feature fusion model for person re-identification
* MIXCAPS: A capsule network-based mixture of experts for lung nodule malignancy prediction
* New confocal hyperbola-based ellipse fitting with applications to estimating parameters of mechanical pipes from point clouds
* NM-GAN: Noise-modulated generative adversarial network for video anomaly detection
* Nonlocal graph theory based transductive learning for hyperspectral image classification
* Novel Unsupervised domain adaptation method for inertia-Trajectory translation of in-air handwriting, A
* parameterized geometric fitting method for ellipse, A
* PILS: Exploring high-order neighborhoods by pattern mining and injection
* PRRNet: Pixel-Region relation network for face forgery detection
* Recognition of visual-related non-driving activities using a dual-camera monitoring system
* Region-based dropout with attention prior for weakly supervised object localization
* Retraction notice: A framework with modified fast FCM for brain MR images segmentation
* Single annotated pixel based weakly supervised semantic segmentation under driving scenes
* Single-Image super-resolution: When model adaptation matters
* SNAP: Shaping neural architectures progressively via information density criterion
* Star-based learning correlation clustering
* STDnet-ST: Spatio-temporal ConvNet for small object detection
* survey on heterogeneous network representation learning, A
* Temporally smooth online action detection using cycle-consistent future anticipation
* two-stage hybrid ant colony optimization for high-dimensional feature selection, A
* Unsupervised meta-learning for few-shot learning
* Vector of Locally and Adaptively Aggregated Descriptors for Image Feature Representation
* Ventral and Dorsal Stream Theory based Zero-Shot Action Recognition
35 for PR(116)

PR(117) * Boundarymix: Generating pseudo-training images for improving segmentation with scribble annotations
* CDF Transform-and-Shift: An effective way to deal with datasets of inhomogeneous cluster densities
* Cross-scene foreground segmentation with supervised and unsupervised model communication
* Deep center-based dual-constrained hashing for discriminative face image retrieval
* Deformed contour segment matching for multi-source images
* Detection of COVID-19 from speech signal using bio-inspired based cepstral features
* Digital hair removal by deep learning for skin lesion segmentation
* Dual self-attention with co-attention networks for visual question answering
* efficient and locality-oriented Hausdorff distance algorithm: Proposal and analysis of paradigms and implementations, An
* Feature selection with kernelized multi-class support vector machine
* GR-RNN: Global-context residual recurrent neural networks for writer identification
* Image stitching based on angle-consistent warping
* Integrating information theory and adversarial learning for cross-modal retrieval
* Learn to abstract via concept graph for weakly-supervised few-shot learning
* Level set framework with transcendental constraint for robust and fast image segmentation
* MASTER: Multi-aspect non-local network for scene text recognition
* Mixed-order spectral clustering for complex networks
* Optic disc segmentation by U-net and probability bubble in abnormal fundus images
* Penalized-regression-based bicluster localization
* Random vector functional link neural network based ensemble deep learning
* Robust deep k-means: An effective and simple method for data clustering
* Robust feature matching using guided local outlier factor
* Robust generalised quadratic discriminant analysis
* Rough-Bayesian approach to select class-pair specific descriptors for HEp-2 cell staining pattern recognition
* Scale-balanced loss for object detection
* SRAGL-AWCL: A two-step multi-view clustering via sparse representation and adaptive weighted cooperative learning
* Two-stage adaptive random Fourier sampling method for image reconstruction
27 for PR(117)

PR(119) * Accurate detection of COVID-19 patients based on distance biased Naïve Bayes (DBNB) classification strategy
* Assessment of dispersion patterns for negative stress detection from electroencephalographic signals
* branch and bound irredundant graph algorithm for large-scale MLCS problems, A
* Collaborative feature-weighted multi-view fuzzy c-means clustering
* confidence prior for image dehazing, A
* COVID-19 Detection from X-ray Images using Multi-Kernel-Size Spatial-Channel Attention Network
* COVID-index: A texture-based approach to classifying lung lesions based on CT images
* Deep compact polyhedral conic classifier for open and closed set recognition
* deep fusion framework for unlabeled data-driven tumor recognition, A
* Deep neural network compression through interpretability-based filter pruning
* Design of cancelable MCC-based fingerprint templates using Dyno-key model
* Detecting pulmonary diseases using deep features in X-ray images
* Ensemble selection with joint spectral clustering and structural sparsity
* Feature learning and patch matching for diverse image inpainting
* Fused lasso for feature selection using structural information
* Holistic word descriptor for lexicon reduction in handwritten arabic documents
* IsGAN: Identity-sensitive generative adversarial network for face photo-sketch synthesis
* Learning features from covariance matrix of gabor wavelet for face recognition under adverse conditions
* Lung segmentation and automatic detection of COVID-19 using radiomic features from chest CT images
* MaskCOV: A random mask covariance network for ultra-fine-grained visual categorization
* Metaheuristic Search Based Feature Selection Methods for Classification of Cancer
* Minimum variance-embedded kernelized extension of extreme learning machine for imbalance learning
* Mining consistent correspondences using co-occurrence statistics
* Mitigating severe over-parameterization in deep convolutional neural networks through forced feature abstraction and compression with an entropy-based heuristic
* Mutual information regularized identity-aware facial expression recognition in compressed video
* Non-linear and selective fusion of cross-modal images
* Principal component analysis in the wavelet domain
* Reinforced SVM method and memorization mechanisms
* SCOAT-Net: A novel network for segmenting COVID-19 lung opacification from CT images
* Simultaneous positive sequential vectors modeling and unsupervised feature selection via continuous hidden Markov models
* Skeleton-based human action evaluation using graph convolutional network for monitoring Alzheimer's progression
* Solving archaeological puzzles
* Solving archaeological puzzles
* Stroke constrained attention network for online handwritten mathematical expression recognition
* survey on text generation using generative adversarial networks, A
* Triplet network framework based automatic assessment of simulation quality for respiratory droplet propagation, A
* Understanding crowd flow patterns using active-Langevin model
* Unsupervised neural domain adaptation for document image binarization
* VSRNet: End-to-end video segment retrieval with text query
* Weak segmentation supervised deep neural networks for pedestrian detection
* Weakly-supervised temporal attention 3D network for human action recognition
41 for PR(119)

PR(12) * algorithm for determining identity of nearest-neighbor and potential function decision rules, An
* Application of autoregressive models to the study of the temporal structure of a handwritten text
* Automatic inspection by lots in the presence of classification errors
* Automatic Inspection System for Printed Wiring Board Masks, An
* Combination of Statistical and Syntactical Pattern Recognition Applied to Classification of Unconstrained Handwritten Numerals, A
* combined nonparametric approach to feature selection and binary decision tree design, A
* computationally efficient technique for data-clustering, A
* Computer Measurement of Particle Diameters in Cell Membranes from Electron Micrographs
* Crop Classification with Landsat Multispectral Scanner Data II
* Design of a graph-representation and a fuzzy-classifier for human chromosomes
* Development of a Spectral-Spatial Classifier for Earth Observational Data, The
* Effect of autocorrelated training samples on Bayes' probabilities of misclassification
* Effect of dimensionality and estimation on the performance of gaussian classifiers
* Error rate estimation on the basis of posterior probabilities
* Experiments on human pattern recognition: A Hierarchical Sign-System Approach
* Fast Algorithms for Two Maximal Distance Problems with Applications to Image Analysis
* Fast polygonal approximation of digitized curves
* Feature detection using the general linear model
* Feature extraction for texture classification
* Finding a good figure that approximately passes through given points
* From binary to grey tone image processing using fuzzy logic concepts
* How to Describe Pure Form and How to Measure Differences in Shapes Using Shape Numbers
* Knowledge-Mediated Perception
* learning procedure for multisurface method of pattern separation, A
* Learning to recognize patterns with a probabilistic teacher
* Learning with imperfectly labeled patterns
* least upper bound for the average classification accuracy of multiple observers, A
* Linear and nonlinear mapping of patterns
* Mapping algorithms in ISPAHAN
* measure of shared information in classes of patterns, A
* Method for the Analysis of Gaussian-Like Clusters, A
* Monte Carlo comparisons of selected clustering procedures
* Neighbor Gray Levels as Features in Pixel Classification
* On an optimal linear pattern classification procedure
* On the Dominance of Non-Parametric Bayes Rule Discriminant Algorithms in High Dimensions
* On-Line Recognition of Handprinted Kanji Characters
* pigeon's analysis of pictures, The
* Point Pattern Matching by Relaxation
* Probability transforms of digital pictures
* Propagation Algorithms for Framing Rectangle Construction
* Recognition of Handprinted Characters by an Outermost Point Method
* Recognition of handprinted Tamil characters
* Relative Neighbourhood Graph of a Finite Planar Set, The
* Scene Labeling: An Optimization Approach
* self-supervised vowel recognition system, A
* Signature extension in remote sensing
* Spatial Clustering Procedures for Region Analysis
* Stability of a hierarchical clustering
* Strip Detection Using Relaxation
* Use of the Hough transform for image data compression
* Using the Creation Machine to Locate Airplanes on Aerial Photos
* validation of four ultrametric clustering algorithms, The
* Weighted logical inference for pattern recognition
53 for PR(12)

PR(120) * 3D object recognition through a size function resulting from an invariant topological feature
* Accuracy vs. complexity: A trade-off in visual question answering models
* Automated delineation of corneal layers on OCT images using a boundary-guided CNN
* CapsNet regularization and its conjugation with ResNet for signature identification
* Certainty driven consistency loss on multi-teacher networks for semi-supervised learning
* Community-based k-shell decomposition for identifying influential spreaders
* Conditional information gain networks as sparse mixture of experts
* Copula-based conformal prediction for multi-target regression
* Correlation-based structural dropout for convolutional neural networks
* DDAT: Dual domain adaptive translation for low-resolution face verification in the wild
* Deep neural networks ensemble to detect COVID-19 from CT scans
* Deep robust multilevel semantic hashing for multi-label cross-modal retrieval
* Discretization-aware architecture search
* Doubly supervised parameter transfer classifier for diagnosis of breast cancer with imbalanced ultrasound imaging modalities
* Dynamic and reliable subtask tracker with general schatten p-norm regularization
* Effective action recognition with embedded key point shifts
* Enhanced anomaly scores for isolation forests
* Explainable boosted linear regression for time series forecasting
* Explainable deep learning for efficient and robust pattern recognition: A survey of recent developments
* FoCL: Feature-oriented continual learning for generative models
* GAMI-Net: An explainable neural network based on generalized additive models with structured interactions
* Generalized error path algorithm
* Generalized pyramid co-attention with learnable aggregation net for video question answering
* GGAC: Multi-relational image gated GCN with attention convolutional binary neural tree for identifying disease with chest X-rays
* Graph representation learning for road type classification
* Hierarchical Object Relationship Constrained Monocular Depth Estimation.
* Human trajectory prediction and generation using LSTM models and GANs
* Improving the accuracy of global forecasting models using time series data augmentation
* Knowledge base graph embedding module design for Visual question answering model
* Knowledge memorization and generation for action recognition in still images
* Knowledge-aware deep framework for collaborative skin lesion segmentation and melanoma recognition
* Learnable low-rank latent dictionary for subspace clustering
* Learning graph edit distance by graph neural networks
* Manifold learning with structured subspace for multi-label feature selection
* Meta-learning based relation and representation learning networks for single-image deraining
* MetaMed: Few-shot medical image classification using gradient-based meta-learning
* Mixability of integral losses: A key to efficient online aggregation of functional and probabilistic forecasts
* Modulating scalable Gaussian processes for expressive statistical learning
* Multi-label feature selection considering label supplementation
* Multi-label feature selection via manifold regularization and dependence maximization
* multi-task fully deep convolutional neural network for contactless fingerprint minutiae extraction, A
* MVDRNet: Multi-view diabetic retinopathy detection by combining DCNNs and attention mechanisms
* nested U-shape network with multi-scale upsample attention for robust retinal vascular segmentation, A
* Non-uniform motion deblurring with blurry component divided guidance
* Normalized class coherence change-based kNN for classification of imbalanced data
* Part-guided graph convolution networks for person re-identification
* Point cloud denoising using non-local collaborative projections
* Potential Anchoring for imbalanced data classification
* Progressive global perception and local polishing network for lung infection segmentation of COVID-19 CT images
* Randomized trees for time series representation and similarity
* Real-time and light-weighted unsupervised video object segmentation network
* Reducing magnetic resonance image spacing by learning without ground-truth
* Selection of diverse features with a diverse regularization
* Semantic manifold modularization-based ranking for image recommendation
* Semi-supervised multi-Layer convolution kernel learning in credit evaluation
* Sparse semi-supervised heterogeneous interbattery bayesian analysis
* Spatial reasoning for few-shot object detection
* Statistical mechanical analysis for unweighted and weighted stock market networks
* survey on dorsal hand vein biometrics, A
* Temporal consistent portrait video segmentation
* Top-rank convolutional neural network and its application to medical image-based diagnosis
* Training object detectors from few weakly-labeled and many unlabeled images
* two-level framework for place recognition with 3D LiDAR based on spatial relation graph, A
* unified weight learning and low-rank regression model for robust complex error modeling, A
* Weighted clustering: Towards solving the user's dilemma
65 for PR(120)

PR(121) * 4D computed tomography super-resolution reconstruction based on tensor product and nuclear norm optimization
* Action recognition via pose-based graph convolutional networks with intermediate dense supervision
* ANCES: A novel method to repair attribute noise in classification problems
* BiconNet: An edge-preserved connectivity-based approach for salient object detection
* Blitz-SLAM: A semantic SLAM in dynamic environments
* Cloud based scalable object recognition from video streams using orientation fusion and convolutional neural networks
* Consistent and diverse multi-View subspace clustering with structure constraint
* Constrained mutual convex cone method for image set based recognition
* Context-aware co-supervision for accurate object detection
* Creating synthetic minority class samples based on autoencoder extreme learning machine
* Deep adaptive feature embedding with local sample distributions for person re-identification
* Deep anomaly detection with self-supervised learning and adversarial training
* Deep neural networks-based relevant latent representation learning for hyperspectral image classification
* Deep tree-ensembles for multi-output prediction
* Delving deep into spatial pooling for squeeze-and-excitation networks
* Edge computing enabled video segmentation for real-time traffic monitoring in internet of vehicles
* Estimating fund-raising performance for start-up projects from a market graph perspective
* Financial time series forecasting with multi-modality graph neural network
* GLMNet: Graph learning-matching convolutional networks for feature matching
* Graph convolutional autoencoders with co-learning of graph structure and node attributes
* Graph variational auto-encoder for deriving EEG-based graph embedding
* Head pose estimation using deep neural networks and 3D point clouds
* hierarchical model for learning to understand head gesture videos, A
* Indefinite twin support vector machine with DC functions programming
* Joint multi-label learning and feature extraction for temporal link prediction
* Learning common and label-specific features for multi-Label classification with correlation information
* Learning discriminative region representation for person retrieval
* Learning hybrid ranking representation for person re-identification
* Learning scale awareness in keypoint extraction and description
* Learning sequentially diversified representations for fine-grained categorization
* Learning to schedule multi-NUMA virtual machines via reinforcement learning
* Lifelong robotic visual-tactile perception learning
* Mixture factor analysis with distance metric constraint for dimensionality reduction
* Multi-dimensional clustering through fusion of high-order similarities
* Novel fuzzy clustering algorithm with variable multi-pixel fitting spatial information for image segmentation
* novel GCN-based point cloud classification model robust to pose variances, A
* Object-based cluster validation with densities
* Online aggregation of probability forecasts with confidence
* Pareto optimization of deep networks for COVID-19 diagnosis from chest X-rays
* Part-based annotation-free fine-grained classification of images of retail products
* Pedestrian attribute recognition: A survey
* Pedestrian trajectory prediction with convolutional neural networks
* Preference prediction based on a photo gallery analysis with scene recognition and object detection
* Recursive multi-model complementary deep fusion for robust salient object detection via parallel sub-networks
* Relation-aware dynamic attributed graph attention network for stocks recommendation
* residual generator: An improved divergence minimization framework for GAN, The
* SAR-to-optical image translation based on improved CGAN
* Semi-supervised student-teacher learning for single image super-resolution
* Spatiotemporal consistency-enhanced network for video anomaly detection
* Towards open-set touchless palmprint recognition via weight-based meta metric learning
* Towards robust explanations for deep neural networks
* Tracking more than 100 arbitrary objects at 25 FPS through deep learning
* Transtrack: Online meta-transfer learning and Otsu segmentation enabled wireless gesture tracking
* Unified Hierarchical XGBoost model for classifying priorities for COVID-19 vaccination campaign, A
* Unified learning approach for egocentric hand gesture recognition and fingertip detection
* Universal multi-Source domain adaptation for image classification
* Variable weight algorithm for convolutional neural networks and its applications to classification of seizure phases and types
* WC-KNNG-PC: Watershed clustering based on k-nearest-neighbor graph and Pauta Criterion
* What-and-where to match: Deep spatially multiplicative integration networks for person re-identification
* Why is this an anomaly? Explaining anomalies using sequential explanations
60 for PR(121)

PR(122) * AD)2: Adversarial domain adaptation to defense with adversarial perturbation removal
* Adaptive Decision Forest: An incremental machine learning framework
* AE-Net: Fine-Grained Sketch-Based Image Retrieval Via Attention-Enhanced Network
* AI-Based human audio processing for COVID-19: A comprehensive overview
* Atom correlation based graph propagation for scene graph generation
* Balanced single-shot object detection using cross-context attention-guided network
* Bayesian compression for dynamically expandable networks
* Biological eagle eye-based method for change detection in water scenes
* black-box adversarial attack for poisoning clustering, A
* black-box adversarial attack strategy with adjustable sparsity and generalizability for deep image classifiers, A
* cascade reconstruction model with generalization ability evaluation for anomaly detection in videos, A
* Coarse-to-fine pseudo supervision guided meta-task optimization for few-shot object classification
* Coarse-to-fine-grained method for image splicing region detection
* Context extraction module for deep convolutional neural networks
* Contextual ensemble network for semantic segmentation
* Continuous conditional random field convolution for point cloud segmentation
* Data synthesis method preserving correlation of features
* DDBN: Dual detection branch network for semantic diversity predictions
* Deep and interpretable regression models for ordinal outcomes
* Deep image prior based defense against adversarial examples
* Deep momentum uncertainty hashing
* Deep neighbor-aware embedding for node clustering in attributed graphs
* Discrepant Multiple Instance Learning for Weakly Supervised Object Detection
* Discrete online cross-modal hashing
* Discriminative feature generation for classification of imbalanced data
* Discriminative unimodal feature selection and fusion for RGB-D salient object detection
* Divide well to merge better: A novel clustering algorithm
* Effective and efficient pixel-level detection for diverse video copy-move forgery types
* effective deep network using target vector update modules for image restoration, An
* Efficient COVID-19 testing via contextual model based compressive sensing
* Efficient k-nearest neighbor search based on clustering and adaptive k values
* End-to-End Supermask Pruning: Learning to Prune Image Captioning Models
* Estimating Tukey depth using incremental quantile estimators
* Explainable scale distillation for hyperspectral image classification
* Exploiting foreground and background separation for prohibited item detection in overlapping X-Ray images
* Exploring DeshuffleGANs in Self-Supervised Generative Adversarial Networks
* Exploring rich intermediate representations for reconstructing 3D shapes from 2D images
* Factored Latent-Dynamic Conditional Random Fields for single and multi-label sequence modeling
* Feature flow: In-network feature flow estimation for video object detection
* Feature refinement: An expression-specific feature learning and fusion method for micro-expression recognition
* Feature wise normalization: An effective way of normalizing data
* Fine-grained action recognition using dynamic kernels
* From soccer video to ball possession statistics
* Gaussian-guided feature alignment for unsupervised cross-subject adaptation
* Generalizable model-agnostic semantic segmentation via target-specific normalization
* GeoConv: Geodesic guided convolution for facial action unit recognition
* Gradient-Aligned convolution neural network
* Graph Clustering via Variational Graph Embedding
* Graph matching based on fast normalized cut and multiplicative update mapping
* Graph regularized locally linear embedding for unsupervised feature selection
* GraphXCOVID: Explainable deep graph diffusion pseudo-Labelling for identifying COVID-19 on chest X-rays
* High dynamic range imaging via gradient-aware context aggregation network
* Hyperspectral super-resolution via coupled tensor ring factorization
* Image-to-video person re-identification using three-dimensional semantic appearance alignment and cross-modal interactive learning
* Integrated generalized zero-shot learning for fine-grained classification
* JSPNet: Learning joint semantic and instance segmentation of point clouds via feature self-similarity and cross-task probability
* Kernelized support tensor train machines
* Learning multiscale hierarchical attention for video summarization
* Learning panoptic segmentation through feature discriminability
* Leveraging local and global descriptors in parallel to search correspondences for visual localization
* Loss functions for pose guided person image generation
* Multi-Attention Augmented Network for Single Image Super-Resolution
* Multi-frame based adversarial learning approach for video surveillance
* Multi-label sampling based on local label imbalance
* Multi-scale spatial-spectral fusion based on multi-input fusion calculation and coordinate attention for hyperspectral image classification
* Multi-task driven explainable diagnosis of COVID-19 using chest X-ray images
* Multi-task framework based on feature separation and reconstruction for cross-modal retrieval
* multimodal attention fusion network with a dynamic vocabulary for TextVQA, A
* Multinomial random forest
* near effective and efficient model in recognition, A
* Neighborhood preserving embedding on Grassmann manifold for image-set analysis
* new bayesian Poisson denoising algorithm based on nonlocal means and stochastic distances, A
* Non-stationary, online variational Bayesian learning, with circular variables
* Nonconvex 3D array image data recovery and pattern recognition under tensor framework
* Novel Quasi-Newton Method for Composite Convex Minimization, A
* Novel Robust Low-rank Multi-view Diversity Optimization Model with Adaptive-Weighting Based Manifold Learning, A
* Online learnable keyframe extraction in videos and its application with semantic word vector in action recognition
* Privacy-aware supervised classification: An informative subspace based multi-objective approach
* ProCAN: Progressive growing channel attentive non-local network for lung nodule classification
* Protect, show, attend and tell: Empowering image captioning models with ownership protection
* Revisiting image captioning via maximum discrepancy competition
* Robust and discrete matrix factorization hashing for cross-modal retrieval
* Robust face alignment by dual-attentional spatial-aware capsule networks
* SARS-Net: COVID-19 detection from chest x-rays by combining graph convolutional network and convolutional neural network
* Segmentation of Handwritten Arabic Graphemes Using a Directed Convolutional Neural Network and Mathematical Morphology Operations
* SetMargin loss applied to deep keystroke biometrics with circle packing interpretation
* Skeleton-based relational reasoning for group activity analysis
* Spatio-Temporal association rule based deep annotation-free clustering (STAR-DAC) for unsupervised person re-identification
* Support structure representation learning for sequential data clustering
* Towards automatic threat detection: A survey of advances of deep learning within X-ray security imaging
* Two-step domain adaptation for underwater image enhancement
* Unimodal regularisation based on beta distribution for deep ordinal regression
* Unsupervised descriptor selection based meta-learning networks for few-shot classification
* UU-test for statistical modeling of unimodal data, The
* Video anomaly detection with spatio-temporal dissociation
* Weakly Supervised Segmentation of COVID19 Infection with Scribble Annotation on CT Images
* Well-calibrated confidence measures for multi-label text classification with a large number of labels
* Who is closer: A computational method for domain gap evaluation
* Zero-shot learning via a specific rank-controlled semantic autoencoder
99 for PR(122)

PR(123) * AdaNFF: A new method for adaptive nonnegative multi-feature fusion to scene classification
* ADCNN: Towards learning adaptive dilation for convolutional neural networks
* Bayesian evaluation framework for subjectively annotated visual recognition tasks, A
* Big data directed acyclic graph model for real-time COVID-19 twitter stream detection
* Co-attentive multi-task convolutional neural network for facial expression recognition
* coarse-to-fine approach for dynamic-to-static image translation, A
* Cross-domain structure preserving projection for heterogeneous domain adaptation
* Defect attention template generation cycleGAN for weakly supervised surface defect segmentation
* Description and recognition of complex spatial configurations of object pairs with Force Banner 2D features
* Discrete embedding for attributed graphs
* DLA-Net: Learning Dual Local Attention Features for Semantic Segmentation of Large-Scale Building Facade Point Clouds
* Driving behavior explanation with multi-level fusion
* Enhance to read better: A Multi-Task Adversarial Network for Handwritten Document Image Enhancement
* Fast Camouflaged Object Detection via Edge-based Reversible Re-calibration Network
* Fitbeat: COVID-19 estimation based on wristband heart rate using a contrastive convolutional auto-encoder
* GL-GAN: Adaptive global and local bilevel optimization for generative adversarial network
* Incomplete multi-view clustering with cosine similarity
* Incomplete multiview nonnegative representation learning with multiple graphs
* Kernelized Supervised Laplacian Eigenmap for Visualization and Classification of Multi-Label Data
* Learning directly from synthetic point clouds for in-the-wild 3D face recognition
* Learning to select cuts for efficient mixed-integer programming
* Low-rank inter-class sparsity based semi-flexible target least squares regression for feature representation
* Majorities help minorities: Hierarchical structure guided transfer learning for few-shot fault recognition
* Multi-level adversarial network for domain adaptive semantic segmentation
* Multi-scale signed recurrence plot based time series classification using inception architectural networks
* Neighborhood linear discriminant analysis
* novel bio-inspired texture descriptor based on biodiversity and taxonomic measures, A
* Orthogonal least squares based fast feature selection for linear classification
* polarization fusion network with geometric feature embedding for SAR ship classification, A
* Query Pixel Guided Stroke Extraction with Model-Based Matching for Offline Handwritten Chinese Characters
* Rain-component-aware capsule-GAN for single image de-raining
* Real masks and spoof faces: On the masked face presentation attack detection
* robust and efficient fingerprint image restoration method based on a phase-field model, A
* Robust multi-feature collective non-negative matrix factorization for ECG biometrics
* Semi-supervised Active Salient Object Detection
* Semi-supervised extensions of multi-task tree ensembles
* Systematic generation of moment invariant bases for 2D and 3D tensor fields
* Unified curiosity-Driven learning with smoothed intrinsic reward estimation
* unified deep sparse graph attention network for scene graph generation, A
* Unsupervised deep clustering via contractive feature representation and focal loss
* Visual vs internal attention mechanisms in deep neural networks for image classification and object detection
41 for PR(123)

PR(124) * 3D pose estimation and future motion prediction from 2D images
* Action Transformer: A self-attention model for short-time pose-based human action recognition
* Adaptive Gabor convolutional networks
* Adaptive region-aware feature enhancement for object detection
* analysis of heuristic metrics for classifier ensemble pruning based on ordered aggregation, An
* approach to boundary detection for 3D point clouds based on DBSCAN clustering, An
* Automated search space and search strategy selection for AutoML
* Brain tumor segmentation based on the dual-path network of multi-modal MRI images
* CANet: Co-attention network for RGB-D semantic segmentation
* cascaded nested network for 3T brain MR image segmentation guided by 7T labeling, A
* Characterizing ordinal network of time series based on complexity-entropy curve
* Combining embedding-based and symbol-based methods for entity alignment
* Contrastive attention network with dense field estimation for face completion
* COVID-MTL: Multitask learning with Shift3D and random-weighted loss for COVID-19 diagnosis and severity assessment
* cPCA++: An efficient method for contrastive feature learning
* CR-GAN: Automatic craniofacial reconstruction for personal identification
* DE-GAN: Domain Embedded GAN for High Quality Face Image Inpainting
* Deep co-supervision and attention fusion strategy for automatic COVID-19 lung infection segmentation on CT images
* Deep Collaborative Multi-Task Network: A Human Decision Process Inspired Model for Hierarchical Image Classification
* Deep open-set recognition for silicon wafer production monitoring
* Deep reinforcement learning with credit assignment for combinatorial optimization
* Detection and rectification of arbitrary shaped scene texts by using text keypoints and links
* Developing a generic framework for anomaly detection
* Discriminative deep attributes for generalized zero-shot learning
* Exploiting appearance transfer and multi-scale context for efficient person image generation
* Exploring semantic segmentation of related subclasses from a superset of classes
* Face photo-sketch synthesis via full-scale identity supervision
* FW-SMOTE: A feature-weighted oversampling approach for imbalanced classification
* GaitSlice: A gait recognition model based on spatio-temporal slice features
* Global models for time series forecasting: A Simulation study
* Guided neighborhood affine subspace embedding for feature matching
* Hierarchical domain adaptation with local feature patterns
* Human object interaction detection using two-direction spatial enhancement and exclusive object prior
* Identifying players in broadcast videos using graph convolutional network
* Improved time series clustering based on new geometric frameworks
* Infinite-dimensional feature aggregation via a factorized bilinear model
* Introduction to conformal predictors
* Learning interlaced sparse Sinkhorn matching network for video super-resolution
* Learning to rectify for robust learning with noisy labels
* Loss function search for person re-identification
* Mask encoding: A general instance mask representation for object segmentation
* MTCNet: Multi-task collaboration network for rotation-invariance face detection
* Multi-complementary and unlabeled learning for arbitrary losses and models
* new framework of designing iterative techniques for image deblurring, A
* Poisson kernel: Avoiding self-smoothing in graph convolutional networks
* PRNU registration under scale and rotation transform based on convolutional neural networks
* Progressive polarization based reflection removal via realistic training data generation
* Rapid construction of 4D high-quality microstructural image for cement hydration using partial information registration
* Relevance attack on detectors
* Robust Gaussian process regression with a bias model
* Scene-specific crowd counting using synthetic training images
* Segmentation information with attention integration for classification of breast tumor in ultrasound image
* Self-restrained triplet loss for accurate masked face recognition
* Self-weighting multi-view spectral clustering based on nuclear norm
* Semantic clustering based deduction learning for image recognition and classification
* Semi-supervised node classification via adaptive graph smoothing networks
* Semi-supervised robust training with generalized perturbed neighborhood
* SibNet: Food instance counting and segmentation
* Signature barcodes for online verification
* Sketches by MoSSaRT: Representative selection from manifolds with gross sparse corruptions
* Source data-free domain adaptation for a faster R-CNN
* Sparse attention block: Aggregating contextual information for object detection
* Sparse CapsNet with explicit regularizer
* Spatial-Driven Features Based on Image Dependencies for Person Re-Identification
* Super-Resolution Semantic Segmentation with Relation Calibrating Network
* Supervised dimensionality reduction technology of generalized discriminant component analysis and its kernelization forms
* Text-instance graph: Exploring the relational semantics for text-based visual question answering
* TradeBot: Bandit learning for hyper-parameters optimization of high frequency trading strategy
* Tri-Attention fusion guided multi-modal segmentation network, A
* Two-stage aware attentional Siamese network for visual tracking
* Two-Way alignment approach for unsupervised multi-Source domain adaptation, A
* Uncertainty Estimation for Stereo Matching Based on Evidential Deep Learning
* Unsupervised Cross-Domain Person Re-Identification by Instance and Distribution Alignment
* Velocity-to-velocity human motion forecasting
* Weakly-supervised semantic segmentation with superpixel guided local and global consistency
* Weighted clustering ensemble: A review
* zero-shot learning framework via cluster-prototype matching, A
77 for PR(124)

PR(125) * ADR-MVSNet: A cascade network for 3D point cloud reconstruction with pixel occlusion
* Attentive occlusion-adaptive deep network for facial landmark detection
* Auto uning of price prediction models for high-frequency trading via reinforcement learning
* BADet: Boundary-Aware 3D Object Detection from Point Clouds
* bibliometric analysis of off-line handwritten document analysis literature (1990-2020), A
* Collaborative boundary-aware context encoding networks for error map prediction
* Contour-enhanced attention CNN for CT-based COVID-19 segmentation
* deformable CNN-based triplet model for fine-grained sketch-based image retrieval, A
* Entropy regularization for unsupervised clustering with adaptive neighbors
* Graph label prediction based on local structure characteristics representation
* Hypergraph matching via game-theoretic hypergraph clustering
* Hyperspherical class prototypes for adversarial robustness
* Joint image denoising with gradient direction and edge-preserving regularization
* Phase retrieval from incomplete data via weighted nuclear norm minimization
* Safe incomplete label distribution learning
* Symmetry-Driven hyper feature GCN for skeleton-based gait recognition
* unified perspective of classification-based loss and distance-based loss for cross-view gait recognition, A
* Unsupervised person re-identification with multi-label learning guided self-paced clustering
* User-based network embedding for opinion spammer detection
* VD-PCR: Improving visual dialog with pronoun coreference resolution
20 for PR(125)

PR(126) * AccLoc: Anchor-Free and two-stage detector for accurate object localization
* Adaptive-order proximity learning for graph-based clustering
* ASMFS: Adaptive-Similarity-Based Multi-Modality Feature Selection for Classification of Alzheimer's Disease
* attention-enhanced cross-task network to analyse lung nodule attributes in CT images, An
* Bag dissimilarity regularized multi-instance learning
* Class-attribute inconsistency learning for novelty detection
* Class-specific discriminative metric learning for scene recognition
* CSCNet: Contextual semantic consistency network for trajectory prediction in crowded spaces
* CSDA-Net: Seeking reliable correspondences by channel-Spatial difference augment network
* D2T: A Framework For transferring detection to tracking
* Decomposing generation networks with structure prediction for recipe generation
* Deep attention aware feature learning for person re-Identification
* Deep face recognition for dim images
* Deep knowledge integration of heterogeneous features for domain adaptive SAR target recognition
* Differentiable neural architecture learning for efficient neural networks
* Discriminative feature selection with directional outliers correcting for data classification
* efficient framework for zero-shot sketch-based image retrieval, An
* Energy minimization for image focus volume in shape from focus
* Enhanced nuclear norm based matrix regression for occluded face recognition
* Fast data reduction by space partitioning via convex hull and MBR computation
* GAN for vision, KG for relation: A two-stage network for zero-shot action recognition
* Geometric imbalanced deep learning with feature scaling and boundary sample mining
* globally convergent approximate Newton method for non-convex sparse learning, A
* Hierarchical electricity time series prediction with cluster analysis and sparse penalty
* hierarchical receptive network oriented to target recognition in SAR images, A
* Human-Centric Image Captioning
* Learning multi-scale synergic discriminative features for prostate image segmentation
* Learning upper patch attention using dual-branch training strategy for masked face recognition
* Low-resolution human pose estimation
* Meta-seg: A survey of meta-learning for image segmentation
* MoRE: Multi-output residual embedding for multi-label classification
* mSODANet: A network for multi-scale object detection in aerial images using hierarchical dilated convolutions
* Multi-level augmented inpainting network using spatial similarity
* Prediction with expert advice for a finite number of experts: A practical introduction
* QuadNet: Quadruplet loss for multi-view learning in baggage re-identification
* Repurposing existing deep networks for caption and aesthetic-guided image cropping
* Robust image matching via local graph structure consensus
* Rule extraction with guarantees from regression models
* SDUNet: Road extraction via spatial enhanced and densely connected UNet
* Special Issue on Conformal and Probabilistic Prediction with Applications: Preface
* Split n merge net: A dynamic masking network for multi-task attention
* Split, Embed and Merge: An accurate table structure recognizer
* Structure-aware conditional variational auto-encoder for constrained molecule optimization
* Super-encoder with cooperative autoencoder networks
* Transferring discriminative knowledge via connective momentum clustering on person re-identification
* Universal predictive systems
* Unsupervised person re-identification via simultaneous clustering and mask prediction
* Video super-resolution via mixed spatial-temporal convolution and selective fusion
48 for PR(126)

PR(127) * 2K-Fold-Net and feature enhanced 4-Fold-Net for medical image segmentation
* Arbitrarily shaped scene text detection with dynamic convolution
* AUCO ResNet: an end-to-end network for Covid-19 pre-screening from cough and breath
* Automatic fine-grained glomerular lesion recognition in kidney pathology
* Bayesian mixture of gaussian processes for data association problem
* BeCAPTCHA-Mouse: Synthetic mouse trajectories and improved bot detection
* Convergence analysis of connection center evolution and faster clustering
* CubeNet: X-shape connection for camouflaged object detection
* Discriminative information restoration and extraction for weakly supervised low-resolution fine-grained image recognition
* Domain generalization and adaptation based on second-order style information
* EANet: Iterative edge attention network for medical image segmentation
* Efficient deep neural network for photo-realistic image super-resolution
* ELSED: Enhanced line SEgment drawing
* Exploring interactive attribute reduction via fuzzy complementary entropy for unlabeled mixed data
* From general to specific: Online updating for blind super-resolution
* GA3N: Generative adversarial AutoAugment network
* Graph-based modelling of superpixels for automatic identification of empty shelves in supermarkets
* Head pose estimation: An extensive survey on recent techniques and applications
* Hierarchical feature disentangling network for universal domain adaptation
* Human and action recognition using adaptive energy images
* Impact of metrics on biclustering solution and quality: A review
* Improved deep convolutional embedded clustering with re-selectable sample training
* Incorporating global and local social networks for group recommendations
* Incremental and compressible kernel null discriminant analysis
* Iterative brain tumor retrieval for MR images based on user's intention model
* Learning residue-aware correlation filters and refining scale for real-time UAV tracking
* LiTMNet: A deep CNN for efficient HDR image reconstruction from a single LDR image
* Making person search enjoy the merits of person re-identification
* Multilabel learning based adaptive graph convolutional network for human parsing
* Nested conformal prediction and quantile out-of-bag ensemble methods
* Non-separable rotation moment invariants
* novel hybrid model for short-term prediction of wind speed, A
* On computational aspects of high-order dual Hahn moments
* R2CI: Information theoretic-guided feature selection with multiple correlations
* Rotation invariant point cloud analysis: Where local geometry meets global topology
* SA-DPNet: Structure-aware dual pyramid network for salient object detection
* Soft pseudo-Label shrinkage for unsupervised domain adaptive person re-identification
* Sparse matrix factorization with L2,1 norm for matrix completion
* Statistical independence of ECG for biometric authentication
* SVC-onGoing: Signature verification competition
* Table detection in business document images by message passing networks
* Temporal-adaptive sparse feature aggregation for video object detection
* Unabridged adjacent modulation for clothing parsing
* Unsupervised domain adaptation via distilled discriminative clustering
* Unsupervised feature selection via adaptive graph and dependency score
* Visual explanation of black-box model: Similarity Difference and Uniqueness (SIDU) method
46 for PR(127)

PR(128) * Adaptive open domain recognition by coarse-to-fine prototype-based network
* attention-based framework for multi-view clustering on Grassmann manifold, An
* categorical data clustering framework on graph representation, A
* Causal GraphSAGE: A robust graph method for classification based on causal sampling
* Cobb-Douglas Learning Machine, The
* Complex shearlets and rotary phase congruence tensor for corner detection
* Cross-modality person re-identification via multi-task learning
* Encoder Deep Interleaved Network with Multi-Scale Aggregation for RGB-D Salient Object Detection
* End-to-end weakly supervised semantic segmentation with reliable region mining
* Enhanced task attention with adversarial learning for dynamic multi-task CNN
* Erlang planning network: An iterative model-based reinforcement learning with multi-perspective
* Expecting individuals' body reaction to Covid-19 based on statistical Naïve Bayes technique
* feature consistency driven attention erasing network for fine-grained image retrieval, A
* Gradient-based refined class activation map for weakly supervised object localization
* HandyPose: Multi-level framework for hand pose estimation
* High quality proposal feature generation for crowded pedestrian detection
* Human interaction recognition framework based on interacting body part attention
* Interpolation-based nonrigid deformation estimation under manifold regularization constraint
* Learning multi-level weight-centric features for few-shot learning
* LiDAR-based localization using universal encoding and memory-aware regression
* MFSNet: A multi focus segmentation network for skin lesion segmentation
* Molecular substructure graph attention network for molecular property identification in drug discovery
* MS2GAH: Multi-label semantic supervised graph attention hashing for robust cross-modal retrieval
* Nakagami-Fuzzy imaging framework for precise lesion segmentation in MRI
* Node-Feature Convolution for Graph Convolutional Networks
* Non-volume preserving-based fusion to group-level emotion recognition on crowd videos
* Nonconvex clustering via L0 fusion penalized regression
* Personalized knowledge-aware recommendation with collaborative and attentive graph convolutional networks
* Possibility results for graph clustering: A novel consistency axiom
* Preserving similarity order for unsupervised clustering
* Quaternion-based weighted nuclear norm minimization for color image restoration
* Reflection symmetry detection of shapes based on shape signatures
* Searching part-specific neural fabrics for human pose estimation
* SPARE: Self-supervised part erasing for ultra-fine-grained visual categorization
* Spatial information enhancement network for 3D object detection from point cloud
* spatially constrained skew Student's-t mixture model for brain MR image segmentation and bias field correction, A
* Super U-Net: A modularized generalizable architecture
* Synthetic document generator for annotation-free layout recognition
* Time series classifier recommendation by a meta-learning approach
* Total Bregman divergence-driven possibilistic fuzzy clustering with kernel metric and local information for grayscale image segmentation
40 for PR(128)

PR(129) * 3D hand pose and shape estimation from RGB images for keypoint-based hand gesture recognition
* adaptive estimation method with exploration and exploitation modes for non-stationary environments, An
* Atlanta scaled layouts from non-central panoramas
* Attention regularized semi-supervised learning with class-ambiguous data for image classification
* AVPL: Augmented visual perception learning for person Re-identification and beyond
* Believe the HiPe: Hierarchical perturbation for fast, robust, and model-agnostic saliency mapping
* bi-level formulation for multiple kernel learning via self-paced training, A
* ChildGAN: Face aging and rejuvenation to find missing children
* Clustering by centroid drift and boundary shrinkage
* Cross-View kernel transfer
* Cycle-reconstructive subspace learning with class discriminability for unsupervised domain adaptation
* devil in the tail: Cluster consolidation plus cluster adaptive balancing loss for unsupervised person re-identification, The
* Direction of arrival estimation for indoor environments based on acoustic composition model with a single microphone
* Dual relation network for temporal action localization
* ECDNet: A bilateral lightweight cloud detection network for remote sensing images
* EEG-ConvTransformer for single-trial EEG-based visual stimulus classification
* end-to-end identity association network based on geometry refinement for multi-object tracking, An
* Entropy guided attention network for weakly-supervised action localization
* Example-based color transfer with Gaussian mixture modeling
* Federating recommendations using differentially private prototypes
* FocusNet: Classifying better by focusing on confusing classes
* Fovea localization by blood vessel vector in abnormal fundus images
* Generalized multi-output Gaussian process censored regression
* Graph regularization multidimensional projection
* HAM: Hybrid attention module in deep convolutional neural networks for image classification
* Harmonic convolutional networks based on discrete cosine transform
* HFA-Net: High frequency attention siamese network for building change detection in VHR remote sensing images
* High-resolution rectified gradient-based visual explanations for weakly supervised segmentation
* Improving the Facial Expression Recognition and Its Interpretability via Generating Expression Pattern-map
* Incremental multi-target domain adaptation for object detection with efficient domain transfer
* Instance exploitation for learning temporary concepts from sparsely labeled drifting data streams
* Maximization and restoration: Action segmentation through dilation passing and temporal reconstruction
* Methods for segmenting cracks in 3d images of concrete: A comparison based on semi-synthetic images
* MPCCL: Multiview predictive coding with contrastive learning for person re-identification
* Multi-level graph learning network for hyperspectral image classification
* Multi-manifold discriminant local spline embedding
* Multilevel wavelet-based hierarchical networks for image compressed sensing
* Negational symmetry of quantum neural networks for binary pattern classification
* new distance between multivariate clusters of varying locations, elliptical shapes, and directions, A
* novel forget-update module for few-shot domain generalization, A
* Orthogonal channel attention-based multi-task learning for multi-view facial expression recognition
* Pay attention to what you read: Non-recurrent handwritten text-Line recognition
* Paying attention for adjacent areas: Learning discriminative features for large-scale 3D scene segmentation
* Pose error analysis method based on a single circular feature
* Progressive privileged knowledge distillation for online action detection
* Query-efficient decision-based attack via sampling distribution reshaping
* Realistic frontal face reconstruction using coupled complementarity of far-near-sighted face images
* Recurrent flow networks: A recurrent latent variable model for density estimation of urban mobility
* Representation learning using deep random vector functional link networks for clustering
* Representation learning with deep sparse auto-encoder for multi-task learning
* Robust distance metric optimization driven GEPSVM classifier for pattern classification
* Salient object detection with image-level binary supervision
* Security and privacy enhanced smartphone-based gait authentication with random representation learning and digital lockers
* SELF-LLP: Self-supervised learning from label proportions with self-ensemble
* Self-weighted learning framework for adaptive locality discriminant analysis
* SiameseFuse: A computationally efficient and a not-so-deep network to fuse visible and infrared images
* sparse graph wavelet convolution neural network for video-based person re-identification, A
* Stochastic batch size for adaptive regularization in deep network optimization
* Symmetric Binary Tree Based Co-occurrence Texture Pattern Mining for Fine-grained Plant Leaf Image Retrieval
* Three-dimensional affinity learning based multi-branch ensemble network for breast tumor segmentation in MRI
* Uncertainty-aware twin support vector machines
* Unsupervised discriminative feature learning via finding a clustering-friendly embedding space
* Unsupervised ensemble learning for genome sequencing
* Unsupervised moving object segmentation using background subtraction and optimal adversarial noise sample search
* Unsupervised video anomaly detection via normalizing flows with implicit latent features
* Variational cycle-consistent imputation adversarial networks for general missing patterns
* Versatile, full-spectrum, and swift network sampling for model generation
* VFMVAC: View-filtering-based multi-view aggregating convolution for 3D shape recognition and retrieval
68 for PR(129)

PR(13) * Algorithm for Line Intersection Identification, An
* Algorithm for Segmenting Juxtaposed Objects, An
* Arithmetic operations among shapes using shape numbers
* Automated classification of cytological specimens based on features extracted from nuclei images
* Characterization of growing lettuce from density contours: I. Head Selection
* Characterization of growing lettuce from density contours: II. Statistics
* Computer discrimination of splenocytes and peripheral blood lymphocytes from mice infected with friend murine leukemia virus
* Contextual Classification of Multipsectral Image Data
* Development of a mathematical model to analyze color and density as discriminant features for pulmonary squamous epithelial cells
* Efficient Algorithm for Decomposing a Polygon into Star-Shaped Polygons, An
* efficient estimator of pattern recognition system error probability, An
* Estimating cell populations
* Estimation of probabilities of label imperfections and correction of mislabels
* Evaluation of the Sequential Similarity Detection Algorithm Applied to Binary Images
* Generalised cylinders from local aggregation of sections
* Generalization of Template Matching for Recognition of Real Objects, A
* Generalizing the Hough Transform to Detect Arbitrary Shapes
* Image Segmentation by Pixel Classification
* Improvements in microphotometry by digital signal processing
* Introduction to the special issue on Pattern Recognition of Cell Images: Part two
* Introduction to the special issue on the pattern recognition of cell images: Part one
* Leukocyte image analysis in the diff3 system
* Linear dimension reduction and Bayes classification
* Local image transformation: An application in biological electron microscopy
* Low resolution slit-scan pattern recognition applying one-dimensional multiparameter analysis
* Machine Identification of Human Faces
* Method for Detecting Structure in Polygons, A
* method of boundary determination in digital images of urothelial cells, A
* microprocessor-controlled axiomat microscope for acquisition of cell images, A
* Models for low resolution slit scan measurements based on high resolution laser scanning image analysis: DNA and nuclear dimensions
* Note on Collinearity Merit, A
* On the relation of performance to editing in nearest neighbor rules
* On-Line Recognition of Hand-Written Characters Utilizing Positional and Stroke Vector Sequences
* Pattern Recognition as a Quest for Minimum Entropy
* Polarograms: A New Tool for Image Texture Analysis
* potential discrete analog processor for pattern recognition, A
* region-based formalism for picture processing, A
* Requirements for Sequential Flow and Static Image Analysis: A Preliminary Study
* Scene Segmentation in Automated Histopathology: Techniques Evolved from Cytology Automation
* Segmentation of Chromatic Images
* Standardized color measurement in automated cytophotometry with the light micrscope
* Subgraph Isomorphism Algorithm Using Resolution, A
* survey on Image Segmentation, A
* Thinning Algorithm Based on Prominence Detection, A
* Tissue section analysis: Feature selection and image processing
* Two-dimensional shape decomposition using fuzzy subset theory applied to automated chromosome analysis
* two-level committee machine: a representation and a learning procedure for general piecewise linear discriminant functions, A
47 for PR(13)

PR(130) * 3D Object Detection for Autonomous Driving: A Survey
* Asymmetric cross-modal hashing with high-level semantic similarity
* Auto-weighted sample-level fusion with anchors for incomplete multi-view clustering
* Classification for high-dimension low-sample size data
* Contrastive author-aware text clustering
* CP-ABM approach for modelling COVID-19 infection dynamics and quantifying the effects of non-pharmaceutical interventions, The
* Cross-modality attentive feature fusion for object detection in multispectral remote sensing imagery
* CVM-Cervix: A hybrid cervical Pap-smear image classification framework using CNN, visual transformer and multilayer perceptron
* Directly solving normalized cut for multi-view data
* Discrete curve model for non-elastic shape analysis on shape manifold
* Discriminative and regularized echo state network for time series classification
* Distributional barycenter problem through data-driven flows
* DMT: Dynamic mutual training for semi-supervised learning
* Dual-frame spatio-temporal feature modulation for video enhancement
* Dynamic feature fusion with spatial-temporal context for robust object tracking
* Enforced block diagonal subspace clustering with closed form solution
* FastOPM: A practical method for partial match of time series
* Few-shot Website Fingerprinting attack with Meta-Bias Learning
* Fully convolutional Deep Stacked Denoising Sparse Auto encoder network for partial face reconstruction
* GasHis-Transformer: A multi-scale visual transformer approach for gastric histopathological image detection
* General nonconvex total variation and low-rank regularizations: Model, algorithm and applications
* Hippocampus-heuristic character recognition network for zero-shot learning in Chinese character recognition
* Identifying the key frames: An attention-aware sampling method for action recognition
* iterative convolution-thresholding method (ICTM) for image segmentation, The
* Joint prediction of monocular depth and structure using planar and parallax geometry
* Learning a deep dual-level network for robust DeepFake detection
* Learning attention-guided pyramidal features for few-shot fine-grained recognition
* LSRML: A latent space regularization based meta-learning framework for MR image segmentation
* Model scheduling and sample selection for ensemble adversarial example attacks
* multi-embedding neural model for incident video retrieval, A
* Multimodal channel-wise attention transformer inspired by multisensory integration mechanisms of the brain
* Novel hyperbolic clustering-based band hierarchy (HCBH) for effective unsupervised band selection of hyperspectral images
* Online multiple object tracking using joint detection and embedding network
* Pseudo loss active learning for deep visual tracking
* Residual objectness for imbalance reduction
* Sample complexity of rank regression using pairwise comparisons
* Self-Attention based fine-grained cross-media hybrid network
* Self-supervised rigid transformation equivariance for accurate 3D point cloud registration
* Time-varying Group Lasso Granger Causality Graph for High Dimensional Dynamic system
* Towards lifelong object recognition: A dataset and benchmark
* Two-stage generative adversarial networks for binarization of color document images
* Visual-to-EEG cross-modal knowledge distillation for continuous emotion recognition
42 for PR(130)

PR(131) * 2PESNet: Towards online processing of temporal action localization
* Adaptive aggregation-distillation autoencoder for unsupervised anomaly detection
* Adaptive weighted guided image filtering for depth enhancement in shape-from-focus
* Alleviating the estimation bias of deep deterministic policy gradient via co-regularization
* Artificial life for segmentation of fusion ultrasound images of breast abnormalities
* BRULÈ: Barycenter-Regularized Unsupervised Landmark Extraction
* Clustering experience replay for the effective exploitation in reinforcement learning
* Complementarity-aware cross-modal feature fusion network for RGB-T semantic segmentation
* Comprehensive-perception dynamic reasoning for visual question answering
* Covid-MANet: Multi-task attention network for explainable diagnosis and severity assessment of COVID-19 from CXR images
* Cross-modal prototype learning for zero-shot handwritten character recognition
* Cross-view panorama image synthesis with progressive attention GANs
* Cubic-cross convolutional attention and count prior embedding for smoke segmentation
* Cyclical Adversarial Attack Pierces Black-box Deep Neural Networks
* DARTSRepair: Core-failure-set guided DARTS for network robustness to common corruptions
* Data-attention-YOLO (DAY): A comprehensive framework for mesoscale eddy identification
* Deep rank hashing network for cancellable face identification
* DFR-ST: Discriminative feature representation with spatio-temporal cues for vehicle re-identification
* Dimension-aware attention for efficient mobile networks
* Discovering unknowns: Context-enhanced anomaly detection for curiosity-driven autonomous underwater exploration
* DSLA: Dynamic smooth label assignment for efficient anchor-free object detection
* Effective full-scale detection for salient object based on condensing-and-filtering network
* Efficient federated multi-view learning
* entity-weights-based convolutional neural network for large-sale complex knowledge embedding, An
* Exploiting key points supervision and grouped feature fusion for multiview pedestrian detection
* Fast algorithms for incremental and decremental semi-supervised discriminant analysis
* H-ProMed: Ultrasound image segmentation based on the evolutionary neural network and an improved principal curve
* HCFNN: High-order coverage function neural network for image classification
* Heterogeneous Representation Learning and Matching for Few-Shot Relation Prediction
* Hiding multiple images into a single image via joint compressive autoencoders
* High-order conditional mutual information maximization for dealing with high-order dependencies in feature selection
* Improving deep learning on point cloud by maximizing mutual information across layers
* Incremental Learning from Low-labelled Stream Data in Open-Set Video Face Recognition
* Inter-Attribute awareness for pedestrian attribute recognition
* Iterative structure transformation and conditional random field based method for unsupervised multimodal change detection
* Learning deep morphological networks with neural architecture search
* Locality preserving projection with symmetric graph embedding for unsupervised dimensionality reduction
* modified interval type-2 Takagi-Sugeno fuzzy neural network and its convergence analysis, A
* Multi-feature deep information bottleneck network for breast cancer classification in contrast enhanced spectral mammography
* Multi-granularity episodic contrastive learning for few-shot learning
* Multi-layer manifold learning for deep non-negative matrix factorization-based multi-view clustering
* Multi-scale attention-based pseudo-3D convolution neural network for Alzheimer's disease diagnosis using structural MRI
* Multi-View correlation distillation for incremental object detection
* Multiple-solutions RANSAC for finding axes of symmetry in fragments of objects
* Multivariate multi-layer classifier
* novel explainable neural network for Alzheimer's disease diagnosis, A
* novel part-level feature extraction method for fine-grained vehicle recognition, A
* novel way to formalize stable graph cores by using matching-graphs, A
* On the role of question encoder sequence model in robust visual question answering
* Online Adaptive Kernel Learning with Random Features for Large-scale Nonlinear Classification
* Practical protection against video data leakage via universal adversarial head
* Reconstruction of fragmented trajectories of collective motion using Hadamard deep autoencoders
* Rethinking interactive image segmentation: Feature space annotation
* Self-guided information for few-shot classification
* Semi-Supervised Partial Multi-Label Classification via Consistency Learning
* Shedding light on images: Multi-level image brightness enhancement guided by arbitrary references
* SO-softmax loss for discriminable embedding learning in CNNs
* Spatial feature mapping for 6DoF object pose estimation
* survey of robust adversarial training in pattern recognition: Fundamental, theory, and methodologies, A
* Symbolic sequence representation with Markovian state optimization
* Temporal feature enhancement network with external memory for live-stream video object detection
* To Actively Initialize Active Learning
* Using global information to refine local patterns for texture representation and classification
* Video summarization with a convolutional attentive adversarial network
* Wasserstein approximate bayesian computation for visual tracking
* YOLO-Anti: YOLO-based counterattack model for unseen congested object detection
66 for PR(131)

PR(132) * Alleviating the over-smoothing of graph neural computing by a data augmentation strategy with entropy preservation
* Automatically classifying non-functional requirements using deep neural network
* BR-NPA: A non-parametric high-resolution attention model to improve the interpretability of attention
* BSCA-Net: Bit Slicing Context Attention network for polyp segmentation
* CAAN: Context-Aware attention network for visual question answering
* Center Prediction Loss for Re-identification
* Conditional motion in-betweening
* Counterfactual explanation based on gradual construction for deep networks
* Covered Style Mining via Generative Adversarial Networks for Face Anti-spoofing
* COVID-19 contact tracking by group activity trajectory recovery over camera networks
* Deep learning of longitudinal mammogram examinations for breast cancer risk prediction
* Distribution alignment for cross-device palmprint recognition
* Do deep neural networks contribute to multivariate time series anomaly detection?
* Domain consistency regularization for unsupervised multi-source domain adaptive classification
* Dynamic Self-Attention with Vision Synchronization Networks for Video Question Answering
* End-to-end Supervised Domain Adaptation Framework for Cross-Domain Change Detection, An
* Enhancement of DNN-based multilabel classification by grouping labels based on data imbalance and label correlation
* Explanation vs. attention: A two-player game to obtain attention for VQA and visual dialog
* Exploiting shape cues for weakly supervised semantic segmentation
* familiarity hypothesis: Explaining the behavior of deep open set methods, The
* Feature Nonlinear Transformation Non-Negative Matrix Factorization with Kullback-Leibler Divergence
* Generalized discriminant analysis via kernel exponential families
* GFNet: Automatic segmentation of COVID-19 lung infection regions using CT images based on boundary features
* In the eye of the beholder: A survey of gaze tracking techniques
* Infrared and visible image fusion via parallel scene and texture learning
* Joint operation and attention block search for lightweight image restoration
* JSL3d: Joint subspace learning with implicit structure supervision for 3D pose estimation
* Kernel dependence regularizers and Gaussian processes with applications to algorithmic fairness
* Learnable dynamic margin in deep metric learning
* Learning deep feature correspondence for unsupervised anomaly detection and segmentation
* Learning intra-domain style-invariant representation for unsupervised domain adaptation of semantic segmentation
* Learning multimodal relationship interaction for visual relationship detection
* Learning pseudo labels for semi-and-weakly supervised semantic segmentation
* LiDAR-based localization using universal encoding and memory-aware regression
* Local-to-Global Support Vector Machines (LGSVMs)
* lp-Norm Support Vector Data Description
* Memory-augmented neural networks based dynamic complex image segmentation in digital twins for self-driving vehicle
* Metric learning via perturbing hard-to-classify instances
* MonoPoly: A practical monocular 3D object detector
* Motion-blurred image restoration framework based on parameter estimation and fuzzy radial basis function neural networks
* Multi-criteria Selection of Rehearsal Samples for Continual Learning
* Multi-feature sparse similar representation for person identification
* Multiple geometry representations for 6D object pose estimation in occluded or truncated scenes
* Neural architecture search via reference point based multi-objective evolutionary algorithm
* Non-rigid point set registration based on local neighborhood information support
* Online temporal classification of human action using action inference graph
* Privileged multi-task learning for attribute-aware aesthetic assessment
* Progressive Deep Non-Negative Matrix Factorization Architecture with Graph Convolution-based Basis Image Reorganization
* Progressive downsampling and adaptive guidance networks for dynamic scene deblurring
* Riemannian dynamic generalized space quantization learning
* Robust convolutional neural networks against adversarial attacks on medical images
* Scale-selective and noise-robust extended local binary pattern for texture classification
* Score-Oriented Loss (SOL) functions
* Self-supervised spectral clustering with exemplar constraints
* Siamese networks with an online reweighted example for imbalanced data learning
* Single image based 3D human pose estimation via uncertainty learning
* Stochastic gate-based autoencoder for unsupervised hyperspectral band selection
* SWIPENET: Object detection in noisy underwater scenes
* Table Structure Recognition and Form Parsing by End-to-End Object Detection and Relation Parsing
* Towards a category-extended object detector with limited data
* Towards generalizable person re-identification with a bi-stream generative model
* Tree-based data augmentation and mutual learning for offline handwritten mathematical expression recognition
* Uncorrelated feature selection via sparse latent representation and extended OLSDA
* Unsupervised domain adaptation in homogeneous distance space for person re-identification
* Unsupervised domain adaptation with progressive adaptation of subspaces
* Wasserstein distributional harvesting for highly dense 3D point clouds
* Weighted 3D volume reconstruction from series of slice data using a modified Allen-Cahn equation
* Weighting and pruning based ensemble deep random vector functional link network for tabular data classification
* Wrapper feature selection method based differential evolution and extreme learning machine for intrusion detection system
69 for PR(132)

PR(133) * accurate stereo matching method based on color segments and edges, An
* Adaptive momentum variance for attention-guided sparse adversarial attacks
* Adversarial scratches: Deployable attacks to CNN classifiers
* AEDNet: Adaptive Edge-Deleting Network For Subgraph Matching
* Answering knowledge-based visual questions via the exploration of Question Purpose
* Back-compatible Color QR Codes for colorimetric applications
* Better pseudo-label: Joint domain-aware label and dual-classifier for semi-supervised domain generalization
* BH2I-GAN: Bidirectional Hashcode-to-Image Translation using Multi-Generative Multi-Adversarial Nets
* BP-triplet net for unsupervised domain adaptation: A Bayesian perspective
* Co-Attention Fusion Network for Multimodal Skin Cancer Diagnosis
* Collaborative Learning with Unreliability Adaptation for Semi-Supervised Image Classification
* Conditional GAN with 3D discriminator for MRI generation of Alzheimer's disease progression
* Conditional mixture modeling and model-based clustering
* Continuous label distribution learning
* CSR: Cascade Conditional Variational Auto Encoder with Socially-aware Regression for Pedestrian Trajectory Prediction
* DcTr: Noise-robust point cloud completion by dual-channel transformer with cross-attention
* Decoupling multi-task causality for improved skin lesion segmentation and classification
* Deep autoregressive models with spectral attention
* Disentangling the correlated continuous and discrete generative factors of data
* DisRFC: a dissimilarity-based Random Forest Clustering approach
* Dynamic dense CRF inference for video segmentation and semantic SLAM
* Environmental Sound Classification on the Edge: A Pipeline for Deep Acoustic Networks on Extremely Resource-Constrained Devices
* Exploratory Adversarial Attacks on Graph Neural Networks for Semi-Supervised Node Classification
* Few-shot learning with unsupervised part discovery and part-aligned similarity
* From Distortion Manifold to Perceptual Quality: a Data Efficient Blind Image Quality Assessment Approach
* full data augmentation pipeline for small object detection based on generative adversarial networks, A
* Game-theoretic hypergraph matching with density enhancement
* GCM: Efficient video recognition with glance and combine module
* Graph-embedded subspace support vector data description
* GripNet: Graph information propagation on supergraph for heterogeneous graphs
* Grouping-based Oversampling in Kernel Space for Imbalanced Data Classification
* Image inpainting via spatial projections
* Image manipulation detection by multiple tampering traces and edge artifact enhancement
* Incremental learning for transductive support vector machine
* Investigating intrinsic degradation factors by multi-branch aggregation for real-world underwater image enhancement
* LAE-Net: A locally-adaptive embedding network for low-light image enhancement
* landmark-free approach for automatic, dense and robust correspondence of 3D faces, A
* Lane Detection with Versatile AtrousFormer and Local Semantic Guidance
* LongReMix: Robust learning with high confidence samples in a noisy label environment
* Low-rank 2D local discriminant graph embedding for robust image feature extraction
* Margin embedding net for robust margin collaborative representation-based classification
* Multi-scale multi-hierarchy attention convolutional neural network for fetal brain extraction
* Neural graph embeddings as explicit low-rank matrix factorization for link prediction
* new algorithm for support vector regression with automatic selection of hyperparameters, A
* Noise-robust oversampling for imbalanced data classification
* Online and offline streaming feature selection methods with bat algorithm for redundancy analysis
* Online change-point detection with kernels
* OW-TAL: Learning Unknown Human Activities for Open-World Temporal Action Localization
* Pyramid Geometric Consistency Learning For Semantic Segmentation
* Query efficient black-box adversarial attack on deep neural networks
* Query-guided networks for few-shot fine-grained classification and person search
* Rethinking referring relationships from a perspective of mask-level relational reasoning
* Retinal image enhancement with artifact reduction and structure retention
* Robust Physical-World Attacks on Face Recognition
* Robust Table Detection and Structure Recognition from Heterogeneous Document Images
* SaberNet: Self-attention based effective relation network for few-shot learning
* ScribbleNet: Efficient interactive annotation of urban city scenes for semantic segmentation
* Self-regularized prototypical network for few-shot semantic segmentation
* Single image super-resolution based on directional variance attention network
* Single image super-resolution based on progressive fusion of orientation-aware features
* Temporal sparse adversarial attack on sequence-based gait recognition
* Towards prior gap and representation gap for long-tailed recognition
* Transformed domain convolutional neural network for Alzheimer's disease diagnosis using structural MRI
* UAVformer: A Composite Transformer Network for Urban Scene Segmentation of UAV Images
* unified model for the sparse optimal scoring problem, A
* WITS: Weakly-supervised individual tooth segmentation model trained on box-level labels
66 for PR(133)

PR(134) * AugFCOS: Augmented fully convolutional one-stage object detection network
* Auto-weighted Tensor Schatten p-Norm for Robust Multi-view Graph Clustering
* Automatically detecting human-object interaction by an instance part-level attention deep framework
* BehavePassDB: Public Database for Mobile Behavioral Biometrics and Benchmark Evaluation
* Binary feature learning with local spectral context-aware attention for classification of hyperspectral images
* Clean affinity matrix learning with rank equality constraint for multi-view subspace clustering
* consistent and flexible framework for deep matrix factorizations, A
* Cross-domain structure learning for visual data recognition
* Curvilinear Structure Tracking Based on Dynamic Curvature-penalized Geodesics
* Data augmentation for univariate time series forecasting with neural networks
* Deep graph clustering with multi-level subspace fusion
* Deep learning for image inpainting: A survey
* Deep MinCut: Learning Node Embeddings by Detecting Communities
* dense light field reconstruction algorithm for four-dimensional optical flow constraint equation, A
* Density peaks clustering based on balance density and connectivity
* Detecting group concept drift from multiple data streams
* Dirichlet process mixture of Gaussian process functional regressions and its variational EM algorithm
* Distance-based positive and unlabeled learning for ranking
* Domain Generalization by Joint-Product Distribution Alignment
* efficient point-set registration algorithm with dual terms based on total least squares, An
* Egocentric video co-summarization using transfer learning and refined random walk on a constrained graph
* End-to-end kernel learning via generative random Fourier features
* Enhancing 3D-2D Representations for Convolution Occupancy Networks
* framework based on local cores and synthetic examples generation for self-labeled semi-supervised classification, A
* Frequency domain regularization for iterative adversarial attacks
* Fuzzy Superpixel-based Image Segmentation
* goal-driven unsupervised image segmentation method combining graph-based processing and Markov random fields, A
* GraphDPI: Partial label disambiguation by graph representation learning via mutual information maximization
* High-order manifold regularized multi-view subspace clustering with robust affinity matrices and weighted TNN
* IDA: Improving distribution analysis for reducing data complexity and dimensionality in hyperspectral images
* ImageNet-Patch: A dataset for benchmarking machine learning robustness against adversarial patches
* Improving adversarial robustness by learning shared information
* Joint Graph Learning and Matching for Semantic Feature Correspondence
* Learning comprehensive global features in person re-identification: Ensuring discriminativeness of more local regions
* Learning isometry-invariant representations for point cloud analysis
* Lie algebra representation for efficient 2D shape classification, A
* Meta-learning-based adversarial training for deep 3D face recognition on point clouds
* Mitigating the effect of dataset shift in clustering
* ML-DSVM+: A meta-learning based deep SVM+ for computer-aided diagnosis
* Multi-label feature selection via robust flexible sparse regularization
* Multi-scale enhanced graph convolutional network for mild cognitive impairment detection
* Multi-Source Change-Point Detection over Local Observation Models
* Multi-stage image denoising with the wavelet transform
* novel soft-coded error-correcting output codes algorithm, A
* Parzen Window Approximation on Riemannian Manifold
* PFEMed: Few-shot medical image classification using prior guided feature enhancement
* Regularizing autoencoders with wavelet transform for sequence anomaly detection
* Robust learning from noisy web data for fine-Grained recognition
* Robust sparse and low-redundancy multi-label feature selection with dynamic local and global structure preservation
* SC-GAN: Subspace Clustering based GAN for Automatic Expression Manipulation
* ScanMix: Learning from Severe Label Noise via Semantic Clustering and Semi-Supervised Learning
* Self-paced resistance learning against overfitting on noisy labels
* Semi-supervised adaptive kernel concept factorization
* Simultaneous Robust Matching Pursuit for Multi-View Learning
* Specialized re-ranking: A novel retrieval-verification framework for cloth changing person re-identification
* Support subsets estimation for support vector machines retraining
* TAA-GCN: A temporally aware Adaptive Graph Convolutional Network for age estimation
* Thermal to Visual Person Re-Identification Using Collaborative Metric Learning Based on Maximum Margin Matrix Factorization
* Towards deeper match for multi-view oriented multiple kernel learning
* Towards open-set text recognition via label-to-prototype learning
* Towards Parameter-Free Clustering for Real-World Data
* Tripartite sub-image histogram equalization for slightly low contrast gray-tone image enhancement
* UDNet: Uncertainty-aware deep network for salient object detection
* Unauthorized AI cannot recognize me: Reversible adversarial example
* unified low-order information-theoretic feature selection framework for multi-label learning, A
* Unsupervised Domain Adaptation via Deep Conditional Adaptation Network
* Unsupervised learning of global factors in deep generative models
* Video Object Segmentation using Point-based Memory Network
* Video representation learning for temporal action detection using global-local attention
69 for PR(134)

PR(14) * Algebraic, topological and categorical aspects of pattern recognition: A survey
* Algorithms for syllabic hypothesization in continuous speech
* Application of a Distance-Based Method for Analyzing Spatial Patterns to the Analysis of Radionuclide Tomograms
* Application of a parallel pattern processor to remote sensing
* application of advanced pattern recognition techniques for the discrimination between earthquakes and nuclear detonations, The
* application of grey level image processing to an industrial dimensional inspection problem, An
* Application of Parallel Projections to Three-Dimensional Object Location in Industrial Assembly, The
* application of the coalescence clustering algorithm to remotely sensed multispectral data, The
* Automated capsule inspection method
* Automated Tracking of Filmed Radar Echoes
* Automatic classification of micro-organisms by shape and color, in water quality control: A preliminary study
* Automatic recognition of characters by Fourier descriptors and boundary line encodings
* Automatic Recognition of Printed Farsi Texts
* Coding and decoding pictures in nuclear medicine
* Dealing with a priori knowledge by fuzzy labels
* Design and use of DIP-1: A fast, flexible and dynamically microprogrammable pipelined image processor
* Discretization Errors in the Hough Transform
* Evaluation of the effectiveness of features selected by discriminant analysis methods
* Extraction of Line-Structured Data from Engineering Drawings, The
* fast interval processor, A
* FASTRAK Automatic Digitising System, The
* Feature selection by interactive clustering
* focus checking technique for image analysis systems, A
* General-Purpose Follower for Line-Structured Data, A
* Hierarchical Models and Analysis of Shape
* hierarchical pattern description in the syntactic approach to pattern recognition, A
* Image Deblurring with Computer Generated double Phase Holograms
* Image Processing for Boundary Extraction of Remotely Sensed Data
* Image Segmentation Schema for Low-Level Computer Vision
* infra-red source classification system, An
* Interactive pattern recognition of blood cells in malignant lymphomas
* Multilevel Approach to Pattern Processing, A
* Oligothetic characterisation of clusters
* On the relationships between SVD, KLT and PCA
* Pre-processing of images in an automated chromosome analysis system
* Real-Time Digitizer for Stereo Image Processing, A
* Recognition of writers by handwriting images
* smallest box around a package, The
* Software support for the construction of syntactic pattern recognisers by a research engineer
* Some Experiments with the Interpretation Strategy of a Modular Computer Vision System
* Stochastic syntax-directed translations in syntactic pattern processing
* Test feature selection for a complex electro-hydraulic servo system using frequency response measurements
* Thinning Algorithms: A Critique and a New Methodology
* Tomographic mapping of the activity of the heart wall
* TV Image Processing to Determine the Position of a Robot Vehicle
* Video-rate digital image analysis equipment
46 for PR(14)

PR(15) * Adaptive model for decision making
* Advances in Software Engineering and Their Relations to Pattern Recognition and Image Processing
* Analysis of multivariate medical data by face method
* Approximation of Waveforms and Contours by One-Dimensional Pyramid Linking
* Automated Breast Cancer Detection by Thermography: Performance Goal and Diagnostic Feature Identification
* Automated Visual Inspection Techniques and Applications: A Bibliography
* Bounded Variation Quantity (B.V.Q.) and its Application to Feature Extraction, The
* Closed Contour Extraction Applied to Meteorological Pictures
* Cluster validity profiles
* Clustering based on multiple paths
* Clustering of Collinear Line Segments
* combined algorithm for weighting the variables and clustering in the clustering problem, A
* committee machine with a set of networks composed of two single-threshold elements as committee members, A
* Computational length in pattern recognizers
* computer method of understanding ocular fundus images, A
* Computing the Relative Neighborhood Graph in the L1 and L-inf Metrics
* Contextual Classification Method for Recognizing Land Use Patterns in High Resolution Remotely Sensed Data, A
* Contour Tracing of Grey-Scale Images Based on 2-D Histograms
* Contrivedness: the boundary between pattern recognition and numerology
* Digital and Cellular Convexity
* Edge Segment Linking Based on Gray Level and Geometrical Compatibilities
* Estimating the number of groups and group membership using simulation cluster analysis
* Feature selection in human auditory perception
* Graph Theoretical Clustering Based on Limited Neighbourhood Sets
* Hierarchical Generalized Hough Transforms and Line-Segment Based Generalized Hough Transforms
* Image Processing on MPP:1
* Interfacing criteria for recognition logic used with a context post-processor
* interpretation of Mahalanobis distance in the dual space, An
* Linear dimension reduction and Bayes classification with unknown population parameters
* Measurement of Circularity and ellipticity on a Digital Grid, The
* model for selection of attributes for automatic pattern recognition. Stepwise data compression monitored by visual classification, A
* Neocognitron: A new algorithm for pattern recognition tolerant of deformations and shifts in position
* Noise Filtering in Binary Pictures by Combinatorial Techniques
* Normalization of Discrete Planar Objects
* Object Isolation in FLIR Images using Fisher's Linear Discriminant
* Object recognition and concept learning with CONFUCIUS
* On A Convex Hull Algorithm for Polygons and Its Application to Triangulation Problems
* On-Line Recognition of Hand-Printed Korean Characters
* Optimization of computational time in pattern recognizers
* Parallel computers for region-level image processing
* Pattern Recognition of Nucleated Cells from the Peripheral Blood
* ROC Curve Estimation and Hypothesis Testing: Applications to Breast Cancer Detection
* Segmentation of Pictures into Regions with a Tile-by-Tile Method
* semi-automatic technique for multitemporal classification of a given crop within a landsat scene, A
* Shape Approximation Using Quadtrees
* Skeletons: A link between theoretical and physical letter descriptions
* Some approaches to optimal cluster labeling with applications to remote sensing
* Some decision network designs for pattern classification
* Some Experiments in Waveform Approximation
* Some Results on Fuzzy (Digital) Convexity
* Split-and-Link Algorithms for Image Segmentation
* Texture Recognition via Autoregression
* Thinning and Stroke Segmentation for Handwritten Chinese Character Recognition
* unsupervised Bayes classifier for normal patterns based on marginal densities analysis, An
54 for PR(15)

PR(16) * Algorithm for Pattern Description on the Level of Relative Proximity, An
* ALSM algorithm: An improved subspace method of classification, The
* Application of the Hough Transform to the Recognition of Printed Hebrew Characters, An
* Attempt to Reconstruct the Cerebral Bloodvessels from a Lateral and a Frontal Angiogram, An
* Automated Breast Cancer Detection by Thermography: Performance Goal and Diagnostic Feature Identification
* Automatic Classification of Cervical Cells Using a Binary Tree Classifier
* Automatic scaling of ionograms by the method of structural description
* Automatic Segmentation of Electron Micrographs of Berea Sandstone Cross-Sections
* Binary Tree Versus Single Level Tree Classification of White Blood Cells
* Boundary Extraction from Coarsely or Irregularly Scanned Images
* Can a Local Histogram Really Map Texture Information?
* Classic: A hierarchical clustering algorithm based on asymmetric similarities
* Classification of Normal and Abnormal Samples of Peripheral Blood by Linear Mapping of the Feature Space
* Cluster Detection in a Collection of Collinear Line Segments
* Constrained agglomerative hierarchical classification
* Critical Points on a Perfectly 8- or 6-Connected Thin Binary Line
* experimental study of energy dips for speech and music, An
* Filtered Projections as an Aid in Corner Detection
* Further results on optimization of recognition time
* Generalized Histogram Clustering Scheme for Multidimensional Image Data, A
* Geodesic Methods in Quantitative Image Analysis
* Hand-Scan OCR with a One-Dimensional Image Sensor
* Hybrid Algorithm for Contextual Text Recognition, A
* Image analysis of solid-liquid interface morphology in freezing solutions
* Linear Mapping Technique for Optimizing Binary Templates in Noise-Free Pattern Matching, A
* Linear Time Algorithm for Obtaining the Convex Hull of a Simple Polygon, A
* Machine analysis of acoustical signals
* Magnitude Accuracy of the Template Edge Detector, The
* Matrix Approach to Data Base Exploration: Analysis of Classifier Results, A
* Method for the Design of Binary Tree Classifiers, A
* Minimization of Structural Information: A Set-Theoretical Approach
* Mirabelle: A System for Structural Analysis of Drawings
* Motion Estimation Based on Multiple Local Constraints and Nonlinear Smoothing
* Multi-Resolution Relaxation
* new algorithm for non-linear mapping with applications to dimension and cluster analyses, A
* New Image Segmentation Technique Based on Partition Mode Test, A
* Non-hierarchical clustering with MASLOC
* Note on a Random-Walk Model for Texture Analysis, A
* On Connectivity Properties of Grayscale Pictures
* On The Conditions for Success of Sklansky's Convex Hull Algorithm
* On the Wechsler de_Souza discussion
* On-Line Recognition (OLREC): A Novel Approach to Visual Pattern Recognition
* On-Line Recognition of Handwritten Characters: Alphanumerics, Hiragana, Katakana, Kanji
* On-Line Recognition of Handwritten Characters: Alphanumerics, Hiragana, Katakana, Kanji
* Optical Correlator for Recognizing Characters Printed on Paper
* optimal strategy of a tree classifier, The
* Pattern Recognition of Nucleated Cells from the Peripheral Blood
* Pattern recognition processing in underwater acoustics
* Peak Noise Removal by a Facet Model
* PLANG: A Picture Language Schema for a Class of Pictures
* Preference structure analysis: A nonmetric approach
* Preprocessing Techniques for Cursive Script Word Recognition
* Recognition of Spatial Point Patterns
* Recursive Contextual Classification Using a Spatial Stochastic Model
* recursive method for the investigation of the linear separability of two sets, A
* review of ridge counting in dermatoglyphics, A
* Semiautomatic Leakage Analyzing System for Time Series Fluorescein Ocular Fundus Angiography
* Shape Theory and Pattern Recognition
* Some asymptotic results on the effect of autocorrelation on the error rates of the sample linear discriminant function
* Some Experiments in Relaxation Image Matching Using Corner Features
* Some Experiments In The Evaluation Of A Character Recognition Scanner
* Some Experiments in Waveform Approximation
* Some New Color Features and Their Application to Cervical Cell Classification
* Some statistical properties of the minimum spanning forest
* Subpixel Edge Estimation
* Subpixel Edge Estimation
* Symmetry Analysis By Computer
* test for multidimensional clustering tendency, A
* test for multidimensional clustering tendency, A
* Texture Analysis of Aerial Photographs
* Toward automatic undersea search using pattern recognition techniques
* Walsh Descriptors for Polygonal Curves
72 for PR(16)

PR(17) * 2D Object Acquisition Using Circular Scanning
* analysis of the effects of sample size on classification performance of a histogram based cluster analysis procedure, An
* Analysis of Three-Dimensional Motions in the Blocks World
* application of array grammars to clustering analysis for syntactic patterns, An
* Average Classification Accuracy over Collections of Gaussian Problems: Common Covariance Matrix Case
* CLADYN, A New Compressor for Numerical Color TV and Multispectral Images
* Cluster Detection in a Collection of Collinear Line Segments
* Computer linguistic analysis of line drawings
* Computer Vision Research at the University of Maryland: A 20-Year Retrospective
* Control strategies in pattern analysis
* decision theoretic approach to hierarchical classifier design, A
* Degree of Adjacency or Surroundedness
* Detection and Three-Dimensional Localization by Stereoscopic Visual Sensor and Its Application to a Robot for Picking Asparagus
* Distance Functions Defined by Variable Neighborhood Sequences
* Efficient regular grammatical inference for pattern recognition
* Encoding of Arbitrary Surfaces in 3-Dimensional Space, The
* Extraction of Lines and Regions from Grey Tone Line Drawing Images
* Feature Reduction and Unsupervised Classification Algorithm for Multispectral Data, A
* Fingerprint Pattern Classification
* Fitting Straight Lines to Point Patterns
* formulation and comparison of two linear feature selection techniques applicable to statistical classification, A
* Freedom descriptions: A way to find figures that approximate given points
* Geodesic Methods in Quantitative Image Analysis
* Geographic Information System Using Quadtrees, A
* High Accuracy Character Recognition Algorithm Using Fourier and Topological Descriptors
* Image Analysis: Problems, Progress and Prospects
* Image Database Systems: A Survey
* Image Registration by Matching Relational Structures
* Image Sequence Analysis of Real World Human Motion
* Image Sequence Analysis Using Relational Structures
* Investigation into the Skeletonization Approach of Hilditch, An
* ISOETRP: An interactive clustering algorithm with new objectives
* Iterative Hough Procedure for Three-Dimensional Object Recognition, An
* Knowledge and the Visual Process: Content, Form and Use
* Knowledge-Based Picture Understanding of Weather Charts
* Labeled Point Pattern Matching by Fuzzy Relaxation
* Linear Quadtrees: A Blocking Technique for Contour Filling
* Linear Time Algorithm for Computing the Convex Hull of an Ordered Crossing Polygon, A
* Local ordered grey levels as an aid to corner detection
* MACSYM: A Hierarchical Parallel Image Processing System for Event Driven Pattern Understanding of Documents
* Mapping the local information content of a spatial image
* Matching Three-Dimensional Objects Using a Relational Paradigm
* Matching Wire Frame Objects from Their Two Dimensional Perspective Projections
* Maximum likelihood discriminant analysis on the plane using a Markovian model of spatial context
* method of synthesis of linear discriminant function in the case of nonseparability, A
* Model for Characterizing the Motion of the Solid-Liquid Interface in Freezing Solutions, A
* Model-Based Inspection System for Component Boards
* Noise Reduction in Three-Dimensional Digital Images
* note on the justification of Landsat data transformations, A
* Optimal Algorithm for Constructing the Weighted Voronoi Diagram in the Plane, An
* Parallel and Sequential Transformations on Digital Images
* partition of N-dimensional space, using shells, The
* Pattern recognition by polynomial canonical regression
* Pattern Recognition in Highly-Integrated Circuits
* Perception of order within disorder: 1. Visual ranking of random textures
* Perimeter of a Fuzzy Set, The
* Piecewise Linear Classification Using Seniority Logic Committee Methods, with Application to Remote Sensing
* Preprocessing Method for the Contrast Enhancement of TV-Scanned Electron Microscopic Images, A
* Primary Algorithm for the Understanding of Logic Circuit Diagrams, A
* Robot Guidance Using Computer Vision
* Robot vision by a contour sensor with associative memory
* Scene Analysis Using Region-Based Constraint Filtering
* Soft clustering of multidimensional data: a semi-fuzzy approach
* Solving Camera Parameters from the Perspective Projection of a Parameterized Curve
* Some Algorithms for Image Enhancement Incorporating Human Visual Response
* Spatial Processing Algorithm to Reduce the Effects of Mixed Pixels and Increase the Separability Between Classes, A
* Three-Dimensional Reconstruction of Echocardiograms Based on Orthogonal Sections
* unified approach to pattern recognition, A
* Visual Inspection Using Linear Features
* What the Fourier Transform Can Really Bring to Clustering
* Workpiece Recognition and Inspection by a Model-Based Scene Analysis System
71 for PR(17)

PR(18) * Acoustic signal interpretation: Reasoning with non-specific and uncertain information
* Analysis of a Model for Parallel Image Processing
* Artificial Intelligence Approach to Pattern Recognition: A Perspective and an Overview, The
* automatic programming system for signal processing applications, An
* comparison of tests for randomness, A
* Convex Hull Algorithm for Planar Simple Polygons, A
* Deaf-and-mute sign language generation system
* Degree of Adjacency or Surroundedness
* Detection of the Movements of Persons from a Sparse Sequence of TV Images
* Determining Plane Orientation from Specular Reflectance
* Discrimination with autocorrelated observations
* Finding the Diameter of a Set of Lines
* Handwriter Identification from One-Bit Quantized Pressure Patterns
* Identification of seismic stratigraphic traps using statistical pattern recognition
* Image Processing of Seismograms: (A) Hough Transformation for the Detection of Seismic Patterns; (B) Thinning Processing in the Seismogram
* Improvements to a Recent 3D Border Algorithm
* Integrated Optical Processors in Pattern Recognition
* Iterative Fuzzy Image Segmentation
* Lattice theory approach to metastatic disease patterns in autopsied human patients: Application to metastatic neuroblastoma
* Maximum likelihood discriminant analysis on the plane using a Markovian model of spatial context
* Multidimensional attribute analysis and pattern recognition for seismic interpretation
* Natural Approach in Image Processing and Pattern Recognition: Rotating Neighbourhood Technique, Self-Adapting Threshold, Segmentation and Shape Recognition, A
* New Method for Computing Polygonal Masks In Image Processing Pipeline Architectures, A
* On constructing an expert system for contact localization and tracking
* optimal orthonormal system for discriminant analysis, An
* Parallel and Sequential Transformations on Digital Images
* Pattern Recognition in Highly-Integrated Circuits
* Perimeter of a Fuzzy Set, The
* Quad-Tree Approach to Image Segmentation Which Combines Statistical and Spatial Information, A
* Recognition of Handprinted Hebrew Characters Using Features Selected in the Hough Transform Space
* Recognition of underwater transient patterns
* relative neighborhood graph for mixed feature variables, The
* Relative neighborhood graphs in the Li-metric
* rule-based system for automatic seismic discrimination, A
* Segmentation of a Seismic Section Using Image Processing and Artificial Intelligence Techniques
* Self-learning pattern classification using a sequential clustering technique
* Shape Estimation from Topographic Primal Sketch
* Smoothed additive estimators for non-error rates in multiple discriminant analysis
* Software Laboratory for Visual Inspection and Recognition, A
* statistical approach for discrete pattern recognition: A case study in endocrine physiopathology, A
* Statistical modeling and feature selection for seismic pattern recognition
* stratificational overlapping cluster scheme, A
* Syntactic Method for Image Segmentation and Object Recognition, A
* Syntactic Pattern Recognition for the Recognition of Bright Spots
* System Organization for Parallel Image Processing, A
* Technique for Encoding Lines and Regions in Engineering Drawings, A
* Three-Dimensional Reconstruction of Echocardiograms Based on Orthogonal Sections
* Using probabilities in analyzing two dimensional spatial patterns
48 for PR(18)

PR(19) * Adaptive Pattern Analysis System for Isolating EMI, An
* Algorithm partition and parallel recognition of general context-free languages using fixed-size VLSI architecture
* Application of entropic measures of stochastic dependence in pattern recognition
* Asymptotic error rates of the W and Z statistics when the training observations are dependent
* attribute grammar for QRS detection, An
* Avoiding explosive search in automatic selection of simplest pattern codes
* Bayes classification rule for the general discrete case
* Boundary Localization in an Image Pyramid
* Classifying and validating intermittent EEG patterns with syntactic methods
* Comment on an Investigation into the Skeletonization Approach of Hilditch, A
* Computing relative neighbourhood graphs in the plane
* Determining Motion Parameters Using Intensity Guided Range Sensing
* Development Tools for a Model Directed Workpiece Recognition System
* Direct parsing
* Distances Defined By Neighborhood Sequences
* Experiments in dynamic programming inference of Markov networks with strings representing speech data
* Eye movement analysis system using fundus images
* Features selection and 'possibility theory'
* Finding The Convex Hull Of A Simple Polygon In Linear Time
* Fingerprint Identification Using Graph Matching
* Fuzzy C-Means: Optimality of solutions and effective termination of the algorithm
* Heuristic Approach to Handwritten Numeral Recognition
* High speed error correction of phoneme sequences
* In Response to A Comment on an Investigation into the Skeletonization Approach of Hilditch
* Labeled Point Pattern Matching by Delaunay Triangulation and Maximal Cliques
* Linear discrimination with symmetrical models
* Local convergence of the fuzzy c-Means algorithms
* Matrix method for finding sets of contiguous non-zero elements in a 2-dimensional array
* Minimum Error Thresholding
* Monte Carlo comparison of six hierarchical clustering methods on random data
* Multivariate data representation and analysis by face pattern using facial expression characteristics
* New Approach to Robot Location by House Corners, A
* Noise Filtering in Digital Images and Approximation Theory
* Nonparametric Tests for Edge Detection in Noise
* Note On Convex Hull Algorithms, A
* Online Hand-Sketched Figure Recognition
* Overview of Character Recognition Methodologies, An
* Piecewise Linear Mapping Functions for Image Registration
* Pigeons and perceptrons
* Precompilation of Syntactical Descriptions and Knowledge Directed Analysis of Patterns
* pyramidal approach for the recognition of neurons using key features, A
* Rapid Recognition of Object Outlines in Reduced Resolution Images
* Recognition of Isolated and Simply Connected Handwritten Numerals
* Region Adjacency and Its Application to Object Detection
* Remarks on some statistical properties of the minimum spanning forest
* Shape Grammar Compilers
* Surface Reconstruction and Representation of 3-D Scenes
* Syntactic ECG processing: A review
* syntactic method for analysis of saccadic eye movements, A
* Synthesis of a Road Image as Seen from a Vehicle
* T-recognition of T-languages, a new approach to describe and program the parallel pattern recognition capabilities of d-dimensional tessellation structures
* Tree classifier design with a permutation statistic
* Two hierarchies associated with each clustering scheme
53 for PR(19)

Index for "p"


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