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(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(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(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; (
* 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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