*SSSPR12*
* ***Structural, Syntactic, and Statistical Pattern Recognition**

* 2D Shapes Classification Using BLAST

* 3D Shape Classification Using Commute Time

* Active Graph Matching Based on Pairwise Probabilities between Nodes

* Alignment and Morphing for the Boundary Curves of Anatomical Organs

* Analysis of Co-training Algorithm with Very Small Training Sets

* Approximate Axial Symmetries from Continuous Time Quantum Walks

* Automatic Dimensionality Estimation for Manifold Learning through Optimal Feature Selection

* Bidirectional Language Model for Handwriting Recognition

* Binary Gabor Statistical Features for Palmprint Template Protection

* Change-Point Detection in Time-Series Data by Relative Density-Ratio Estimation

* Class Centric Feature and Classifier Ensemble Selection Approach for Music Genre Classification, A

* Class-Dependent Dissimilarity Measures for Multiple Instance Learning

* Classification of High-Dimension PDFs Using the Hungarian Algorithm

* Clustering-Based Ensemble Technique for Shape Decomposition, A

* Colour Matching Function Learning

* Compact Form of the Pseudo-Inverse Matrix in the Approximation of a Star Graph Using the Conductance Electrical Model (CEM)

* Comparative Analysis of Forgery Detection Algorithms, A

* Comparison between Structural and Embedding Methods for Graph Classification, A

* Complexity of Computing Distances between Geometric Trees

* Conditional Random Fields for Land Use/Land Cover Classification and Complex Region Detection

* Conditional Variance of Differences: A Robust Similarity Measure for Matching and Registration

* Constrained Log-Likelihood-Based Semi-supervised Linear Discriminant Analysis

* Dipping Phenomenon, The

* Discrete Scale Space Neighborhood for Robust Deep Structure Extraction, A

* Dynamic Learning of SCRF for Feature Selection and Classification of Hyperspectral Imagery

* Entropic Selection of Histogram Features for Efficient Classification

* Estimating Surface Characteristics and Extracting Features from Polarisation

* Estimation, Learning, and Adaptation: Systems That Improve with Use

* Evolutionary Weighted Mean Based Framework for Generalized Median Computation with Application to Strings

* Extended Analyses for an Optimal Kernel in a Class of Kernels with an Invariant Metric

* Extended Fisher Criterion Based on Auto-correlation Matrix Information

* Face Recognition Using Multilinear Manifold Analysis of Local Descriptors

* Feature Selection Using Counting Grids: Application to Microarray Data

* Genetic Inspired Optimization for ECOC, A

* Graph Complexity from the Jensen-Shannon Divergence

* Graph Database Retrieval Based on Metric-Trees

* Graph Kernels: Crossing Information from Different Patterns Using Graph Edit Distance

* Heat Flow-Thermodynamic Depth Complexity in Directed Networks

* Heuristic Based on the Intrinsic Dimensionality for Reducing the Number of Cyclic DTW Comparisons in Shape Classification and Retrieval Using AESA, A

* Hierarchical Compositional Representations of Object Structure

* Hierarchical Graph Representation for Symbol Spotting in Graphical Document Images

* Hierarchical Image Segmentation Algorithm Based on an Observation Scale, A

* Human Action Recognition in Video by Fusion of Structural and Spatio-temporal Features

* Hypergraph Spectra for Unsupervised Feature Selection

* Implicit and Explicit Graph Embedding: Comparison of Both Approaches on Chemoinformatics Applications

* Improving Fuzzy Multilevel Graph Embedding through Feature Selection Technique

* Incremental Structured Part Model for Image Classification, An

* Infinite Sparse Factor Analysis for Blind Source Separation in Reverberant Environments

* Information Theoretic Prototype Selection for Unattributed Graphs

* Jensen-Shannon Kernel for Hypergraphs, A

* Laplacian Eigenimages in Discrete Scale Space

* Large Scale Experiments on Fingerprint Liveness Detection

* Learning Sparse Kernel Classifiers in the Primal

* Local Adaptation of the Histogram Radon Transform Descriptor: An Application to a Shoe Print Dataset, A

* Low Training Strength High Capacity Classifiers for Accurate Ensembles Using Walsh Coefficients

* Mode Seeking Clustering by KNN and Mean Shift Evaluated

* Modeling Spoken Dialog Systems under the Interactive Pattern Recognition Framework

* Modified Divergences for Gaussian Densities

* Multiple Classifier System for Classification of Breast Lesions Using Dynamic and Morphological Features in DCE-MRI, A

* New Index Based on Sparsity Measures for Comparing Fuzzy Partitions, A

* New Random Forest Method for One-Class Classification, A

* Novel Gabor-PHOG Features for Object and Scene Image Classification

* Novel Shadow-Assistant Human Fall Detection Scheme Using a Cascade of SVM Classifiers, A

* On the Correlation of Graph Edit Distance and L1 Distance in the Attribute Statistics Embedding Space

* On the Relation between the Common Labelling and the Median Graph

* One-Sided Prototype Selection on Class Imbalanced Dissimilarity Matrices

* Online Metric Learning Methods Using Soft Margins and Least Squares Formulations

* Optimization Techniques for Geometric Estimation: Beyond Minimization

* Out-of-Sample Embedding by Sparse Representation

* Poisoning Adaptive Biometric Systems

* Polichotomies on Imbalanced Domains by One-per-Class Compensated Reconstruction Rule

* Recognition of Long-Term Behaviors by Parsing Sequences of Short-Term Actions with a Stochastic Regular Grammar

* Relational Kernel-Based Framework for Hierarchical Image Understanding, A

* Shape Analysis Using the Edge-Based Laplacian

* Shape Similarity Based on a Treelet Kernel with Edition

* Simultaneous Learning of Localized Multiple Kernels and Classifier with Weighted Regularization

* Sparse Discriminant Analysis Based on the Bayesian Posterior Probability Obtained by L1 Regression

* Support Vector Machines Training Data Selection Using a Genetic Algorithm

* Top-Down Tracking and Estimating 3D Pose of a Die

* Unified View of Two-Dimensional Principal Component Analyses, A

* Unsupervised Clustering of Human Pose Using Spectral Embedding

* Validation of Network Classifiers

83 for SSSPR12

*SSSPR14*
* ***Structural, Syntactic, and Statistical Pattern Recognition**

* About Combining Metric Learning and Prototype Generation

* Analyses on Generalization Error of Ensemble Kernel Regressors

* Approximate Graph Edit Distance Guided by Bipartite Matching of Bags of Walks

* Balanced K-Means for Clustering

* Binary Factor Graph Model for Biclustering, A

* Chemical Symbol Feature Set for Handwritten Chemical Symbol Recognition

* Commute Time for a Gaussian Wave Packet on a Graph

* Comparison of Categorical Attribute Data Clustering Methods, A

* Designing LDPC Codes for ECOC Classification Systems

* Edit Distance Computed by Fast Bipartite Graph Matching

* Entropic Graph Embedding via Multivariate Degree Distributions

* Evaluating Classification Performance with only Positive and Unlabeled Samples

* Fast Gradient Computation for Learning with Tensor Product Kernels and Sparse Training Labels

* Flip-Flop Sublinear Models for Graphs

* Graph Kernel from the Depth-Based Representation, A

* Hausdorff Heuristic for Efficient Computation of Graph Edit Distance, A

* Improved BLSTM Neural Networks for Recognition of On-Line Bangla Complex Words

* Improved Object Matching Using Structural Relations

* Improving Approximate Graph Edit Distance Using Genetic Algorithms

* Incorporating Molecule's Stereisomerism within the Machine Learning Framework

* Information Theoretic Feature Selection in Multi-label Data through Composite Likelihood

* IOWA Operators and Its Application to Image Retrieval

* Majority Vote of Diverse Classifiers for Late Fusion

* Matching Similarity for Keyword-Based Clustering

* Max-Correlation Embedding Computation

* Metric Learning in Dissimilarity Space for Improved Nearest Neighbor Performance

* Node Centrality for Continuous-Time Quantum Walks

* Nonlinear Discriminant Analysis Based on Probability Estimation by Gaussian Mixture Model

* On Cross-Validation for MLP Model Evaluation

* On Optimum Thresholding of Multivariate Change Detectors

* On Parallel Lines in Noisy Forms

* Poisoning Complete-Linkage Hierarchical Clustering

* Properties of Object-Level Cross-Validation Schemes for Symmetric Pair-Input Data

* Quantum vs. Classical Ranking in Segment Grouping

* Ranking Part Model for Object Detection, A

* Regular Decomposition of Multivariate Time Series and Other Matrices

* Remove Noise in Video with 3D Topological Maps

* Statistical Method for Semantic Segmentation of Dominant Plane from Remote Exploration Image Sequence

* Structural Human Shape Analysis for Modeling and Recognition

* Texture Synthesis: From Convolutional RBMs to Efficient Deterministic Algorithms

* Towards Scalable Prototype Selection by Genetic Algorithms with Fast Criteria

* Tracking System with Re-identification Using a RGB String Kernel

* Transitive State Alignment for the Quantum Jensen-Shannon Kernel

* Unifying Probabilistic Linear Discriminant Analysis Variants in Biometric Authentication

* Video Analysis of a Snooker Footage Based on a Kinematic Model

* Weighted Mean Assignment of a Pair of Correspondences Using Optimisation Functions

* Who Is Missing? A New Pattern Recognition Puzzle

48 for SSSPR14

*SSSPR16*
* ***Structural, Syntactic, and Statistical Pattern Recognition**

* Adaptive Sparse Bayesian Regression with Variational Inference for Parameter Estimation

* Approximating Graph Edit Distance Using GNCCP

* Average Mixing Matrix Signature, The

* Bilingual Data Selection Using a Continuous Vector-Space Representation

* Classification of Volumetric Data Using Multiway Data Analysis

* Commute Times in Dense Graphs

* Correlation Network Evolution Using Mean Reversion Autoregression

* Detecting Ellipses in Elongated Shapes Using the Thickness Profile

* Dirichlet Graph Densifiers

* Edge Centrality via the Holevo Quantity

* Enriched Bag of Words for Protein Remote Homology Detection

* Entity Extraction and Correction Based on Token Structure Model Generation

* Exact Graph Edit Distance Computation Using a Binary Linear Program

* fMRI Activation Network Analysis Using Bose-Einstein Entropy

* Forensic Analysis of Manuscript Authorship: An Optimized Computational Approach Based on Texture Descriptors

* Generalised Median of a Set of Correspondences Based on the Hamming Distance

* Generalizing Centroid Index to Different Clustering Models

* Gesture Input for GPS Route Search

* GPS Trajectory Biometrics: From Where You Were to How You Move

* Graph Edit Distance or Graph Edit Pseudo-Distance?

* Graph Entropy from Closed Walk and Cycle Functionals

* Graph Repository for Learning Error-Tolerant Graph Matching, A

* Graph-Based Keyword Spotting in Historical Handwritten Documents

* GriMa: A Grid Mining Algorithm for Bag-of-Grid-Based Classification

* Handwritten Word Image Categorization with Convolutional Neural Networks and Spatial Pyramid Pooling

* Improved Prototype Embedding Based Generalized Median Computation by Means of Refined Reconstruction Methods

* Information Theoretic Rotationwise Robust Binary Descriptor Learning

* Jensen-Shannon Divergence Kernel for Directed Graphs, A

* Least-Squares Regression with Unitary Constraints for Network Behaviour Classification

* Local Binary Pattern for Word Spotting in Handwritten Historical Document

* Markov-Gibbs Texture Modelling with Learnt Freeform Filters

* Mathematical Aspects of Tensor Subspace Method

* Multi-Stage Approach for Fast Person Re-identification, A

* Multiple Structure Recovery via Probabilistic Biclustering

* Novel Graph Database for Handwritten Word Images, A

* On Security and Sparsity of Linear Classifiers for Adversarial Settings

* On the Relevance of Local Neighbourhoods for Greedy Graph Edit Distance

* Outlier Robust Geodesic K-means Algorithm for High Dimensional Data

* P2P Lending Analysis Using the Most Relevant Graph-Based Features

* Peaking Phenomenon in Semi-supervised Learning, The

* Semantic Segmentation via Multi-task, Multi-domain Learning

* Sequential Labeling with Structural SVM Under an Average Precision Loss

* Shape Normalizing and Tracking Dancing Worms

* Similarity Between Dissimilarities, The

* Simultaneous Nonlinear Label-Instance Embedding for Multi-label Classification

* Thermodynamic Characterization of Temporal Networks

* Thermodynamic Network Analysis with Quantum Spin Statistics

* Unsupervised Interpretable Pattern Discovery in Time Series Using Autoencoders

* Unsupervised Parameter Estimation of Non Linear Scaling for Improved Classification in the Dissimilarity Space

* Walker-Independent Features for Gait Recognition from Motion Capture Data

* XNN Graph

52 for SSSPR16

Last update:28-Nov-16 20:52:40

Use price@usc.edu for comments.