Structural, Syntactic, and Statistical Pattern Recognition

Estimation, Learning, and Adaptation: Systems That Improve with Use.- Optimization Techniques for Geometric Estimation: Beyond Minimization.- Hierarchical Compositional Representations of Object Structure.- Information Theoretic Prototype Selection for Unattributed Graphs.- Graph Kernels: Crossing Information from Different Patterns Using Graph Edit Distance.- Mode Seeking Clustering by KNN and Mean Shift Evaluated.- Learning Sparse Kernel Classifiers in the Primal.- EvolutionaryWeighted Mean Based Framework for Generalized Median Computation with Application to Strings.- Graph Complexity from the Jensen-Shannon Divergence.- Complexity of Computing Distances between Geometric Trees.- Active Graph Matching Based on Pairwise Probabilities between Nodes.- On the Relation between the Common Labelling and the Median Graph.- A Hierarchical Image Segmentation Algorithm Based on an Observation Scale.- A Discrete Scale Space Neighborhood for Robust Deep Structure Extraction.- On the Correlation of Graph Edit Distance and L 1 Distance in the

Attribute Statistics Embedding Space.- Approximate Axial Symmetries from Continuous Time Quantum Walks.- A Clustering-Based Ensemble Technique for Shape Decomposition.- Laplacian Eigenimages in Discrete Scale Space.- A Relational Kernel-Based Framework for Hierarchical Image Understanding.- A Jensen-Shannon Kernel for Hypergraphs.- Heat Flow-Thermodynamic Depth Complexity in Directed Networks.- Shape Similarity Based on a Treelet Kernel with Edition.- 3D Shape Classification Using Commute Time.- Conditional Random Fields for Land Use/Land Cover Classification and Complex Region Detection.- Recognition of Long-Term Behaviors by Parsing Sequences of Short-Term Actions with a Stochastic Regular Grammar.- A Comparison between Structural and Embedding Methods for Graph Classification.- Improving Fuzzy Multilevel Graph Embedding through Feature Selection Technique.- Dynamic Learning of SCRF for Feature Selection and Classification of Hyperspectral Imagery.- Entropic Selection of Histogram Features for Efficient Classification.- 2D Shapes Classification Using BLAST.- A New Random Forest Method for One-Class Classification.- A New Index Based on Sparsity Measures for Comparing Fuzzy Partitions.- Polichotomies on Imbalanced Domains by One-per-Class Compensated Reconstruction Rule.- The Dipping Phenomenon.- Colour Matching Function Learning.- Constrained Log-Likelihood-Based Semi-supervised Linear Discriminant Analysis.- Out-of-Sample Embedding by Sparse Representation.- Extended Analyses for an Optimal Kernel in a Class of Kernels with an Invariant Metric.- Simultaneous Learning of Localized Multiple Kernels and Classifier with Weighted Regularization.- Change-Point Detection in Time-Series Data by Relative Density-Ratio Estimation.- Online Metric Learning Methods Using Soft Margins and Least Squares Formulations.- Shape Analysis Using the Edge-Based Laplacian.- One-Sided Prototype Selection on Class Imbalanced Dissimilarity Matrices.- Estimating Surface Characteristics and Extracting Features from Polarisation.- Extended Fisher Criterion Based on Auto-correlation Matrix Information.- Poisoning Adaptive Biometric Systems.- Modified Divergences for Gaussian Densities.- Graph Database Retrieval Based on Metric-Trees.- Validation of Network Classifiers.- Alignment and Morphing for the Boundary Curves of Anatomical Organs.- Unsupervised Clustering of Human Pose Using Spectral Embedding.- Human Action Recognition in Video by Fusion of Structural and Spatio-temporal Features.- An Incremental Structured Part Model for Image Classification.- Top-Down Tracking and Estimating 3D Pose of a Die.- Large Scale Experiments on Fingerprint Liveness Detection.- Implicit and Explicit Graph Embedding: Comparison of Both Approaches on Chemoinformatics Applications.- Modeling Spoken Dialog Systems under the Interactive Pattern Recognition Framework.- Hierarchical Graph Representation for Symbol Spotting in Graphical Document Images.- Compact Form of the Pseudo-inverse Matrix in the Approximation of a Star Graph Using the Conductance Electrical Model (CEM).- A Heuristic Based on the Intrinsic Dimensionality for Reducing the Number of Cyclic DTW Comparisons in Shape Classification and Retrieval Using AESA.- Support Vector Machines Training Data Selection Using a Genetic Algorithm.- A Unified View of Two-Dimensional Principal Component Analyses.- Automatic Dimensionality Estimation for Manifold Learning through Optimal Feature Selection.- Novel Gabor-PHOG Features for Object and Scene Image Classification.- Binary Gabor Statistical Features for Palmprint Template Protection.- Class-Dependent Dissimilarity Measures for Multiple Instance Learning.- Bidirectional Language Model for Handwriting Recognition.- Hypergraph Spectra for Unsupervised Feature Selection.- Feature Selection Using Counting Grids: Application to Microarray Data.- Infinite Sparse Factor Analysis for Blind Source Separation in Reverberant Environments.- Sparse Discriminant Analysis Based on the Bayesian Posterior Probability Obtained by L1 Regression.- Conditional Variance of Differences: A Robust Similarity Measure for Matching and Registration.- A Class Centric Feature and Classifier Ensemble Selection Approach for Music Genre Classification.- A Local Adaptation of the Histogram Radon Transform Descriptor: An Application to a Shoe Print Dataset.- A Multiple Classifier System for Classification of Breast Lesions Using Dynamic and Morphological Features in DCE-MRI.- A Comparative Analysis of Forgery Detection Algorithms.- Low Training Strength High Capacity Classifiers for Accurate Ensembles Using Walsh Coefficients.- A Novel Shadow-Assistant Human Fall Detection Scheme Using a Cascade of SVM Classifiers.- Analysis of Co-training Algorithm with Very Small Training Sets.- Classification of High-Dimension PDFs Using the Hungarian

Algorithm.- Face Recognition Using Multilinear Manifold Analysis of Local Descriptors.- A Genetic Inspired Optimization for ECOC.