Similarity-Based Pattern Analysis and Recognition

Introduction: The SIMBAD Project
Marcello Pelillo

Part I: Foundational Issues

Non-Euclidean Dissimilarities: Causes, Embedding and Informativeness
Robert P. W. Duin, Elzbieta Pekalska, and Marco Loog

SIMBAD: Emergence of Pattern Similarity
Joachim M. Buhmann

Part II: Deriving Similarities for Non-vectorial Data

On the Combination of Information Theoretic Kernels with Generative Embeddings
Pedro M. Q. Aguiar, Manuele Bicego, Umberto Castellani, Mário A. T. Figueiredo, André T. Martins, Vittorio Murino, Alessandro Perina, and Aydin Ulas

Learning Similarities from Examples under the Evidence Accumulation Clustering Paradigm
Ana L. N. Fred, André Lourenço, Helena Aidos, Samuel Rota Bulò, Nicola Rebagliati, Mário Figueiredo, and Marcello Pelillo

Part III: Embedding and Beyond

Geometricity and Embedding
Peng Ren, Furqan Aziz, Lin Han, Eliza Xu, Richard C. Wilson, and Edwin R. Hancock

Structure Preserving Embedding of Dissimilarity Data
Volker Roth, Thomas J. Fuchs, Julia E. Vogt, Sandhya Prabhakaran, and Joachim M. Buhmann

A Game-Theoretic Approach to Pairwise Clustering and Matching
Marcello Pelillo, Samuel Rota Bulò, Andrea Torsello, Andrea Albarelli, and Emanuele Rodolà

Part IV: Applications

Automated Analysis of Tissue Micro-Array Images on the Example of Renal Cell Carcinoma
Peter J. Schüffler, Thomas J. Fuchs, Cheng Soon Ong, Volker Roth, and Joachim M. Buhmann

Analysis of Brain Magnetic Resonance (MR) Scans for the Diagnosis of Mental Illness
Aydin Ulas, Umberto Castellani, Manuele Bicego, Vittorio Murino, Marcella Bellani, Michele Tansella, and Paolo Brambilla