Similarity-Based Pattern Recognition: First International Workshop, SIMBAD 2011, Venice, Italy, September 28-30, 2011. Proceedings

✍ Scribed by Emilie Morvant, Amaury Habrard, Stéphane Ayache (auth.), Marcello Pelillo, Edwin R. Hancock (eds.)

• Publisher: Springer-Verlag Berlin Heidelberg
• Year: 2011
• Tongue: English
• Leaves: 345
• Series: Lecture Notes in Computer Science 7005
• Edition: 1
• Category: Library

✦ Synopsis

This book constitutes the proceedings of the First International Workshop on Similarity Based Pattern Recognition, SIMBAD 2011, held in Venice, Italy, in September 2011.
The 16 full papers and 7 poster papers presented were carefully reviewed and selected from 35 submissions. The contributions are organized in topical sections on dissimilarity characterization and analysis; generative models of similarity data; graph-based and relational models; clustering and dissimilarity data; applications; spectral methods and embedding.

✦ Table of Contents

Front Matter....Pages -
On the Usefulness of Similarity Based Projection Spaces for Transfer Learning....Pages 1-16
Metric Anomaly Detection via Asymmetric Risk Minimization....Pages 17-30
One Shot Similarity Metric Learning for Action Recognition....Pages 31-45
On a Non-monotonicity Effect of Similarity Measures....Pages 46-60
Section-Wise Similarities for Clustering and Outlier Detection of Subjective Sequential Data....Pages 61-76
Hybrid Generative-Discriminative Nucleus Classification of Renal Cell Carcinoma....Pages 77-89
Multi-task Regularization of Generative Similarity Models....Pages 90-103
A Generative Dyadic Aspect Model for Evidence Accumulation Clustering....Pages 104-116
Supervised Learning of Graph Structure....Pages 117-132
An Information Theoretic Approach to Learning Generative Graph Prototypes....Pages 133-148
Graph Characterization via Backtrackless Paths....Pages 149-162
Impact of the Initialization in Tree-Based Fast Similarity Search Techniques....Pages 163-176
Multiple-Instance Learning with Instance Selection via Dominant Sets....Pages 177-191
Min-sum Clustering of Protein Sequences with Limited Distance Information....Pages 192-206
Model-Based Clustering of Inhomogeneous Paired Comparison Data....Pages 207-221
Bag Dissimilarities for Multiple Instance Learning....Pages 222-234
Mutual Information Criteria for Feature Selection....Pages 235-249
Combining Data Sources Nonlinearly for Cell Nucleus Classification of Renal Cell Carcinoma....Pages 250-260
Supervised Segmentation of Fiber Tracts....Pages 261-274
Exploiting Dissimilarity Representations for Person Re-identification....Pages 275-289
A Study of Embedding Methods under the Evidence Accumulation Framework....Pages 290-305
A Study on the Influence of Shape in Classifying Small Spectral Data Sets....Pages 306-320
Feature Point Matching Using a Hermitian Property Matrix....Pages 321-332
Back Matter....Pages -

✦ Subjects

Pattern Recognition; Image Processing and Computer Vision; Artificial Intelligence (incl. Robotics); Database Management; Algorithm Analysis and Problem Complexity; Information Systems Applications (incl. Internet)