Similarity-Based Pattern Recognition

Chapter 1 A Novel Data Representation Based on Dissimilarity Increments

Chapter 2 Characterizing Multiple Instance Datasets

Chapter 3 Supervised Learning of Diffusion Distance to Improve Histogram Matching

Chapter 4 Similarity Analysis from Limiting Quantum Walks

Chapter 5 Introducing Negative Evidence in Ensemble Clustering Application in Automatic ECG Analysis

Chapter 6 Dissimilarity Representations for Low-Resolution Face Recognition

Chapter 8 Cluster Merging Based on Dominant Sets

Chapter 9 An Adaptive Radial Basis Function Kernel for Support Vector Data Description

Chapter 10 Robust Initialization for Learning Latent Dirichlet Allocation

Chapter 11 Unsupervised Motion Segmentation Using Metric Embedding of Features

Chapter 12 Transitive Assignment Kernels for Structural Classification

Chapter 13 Large Scale Indefinite Kernel Fisher Discriminant

Chapter 14 Similarity-Based User Identification Across Social Networks

Chapter 15 Dominant-Set Clustering Using Multiple Affinity Matrices

Chapter 16 Discovery of Salient Low-Dimensional Dynamical Structure in Neuronal Population Activity Using Hopfield Networks