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 L1 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 Graphica