Similarity-Based Pattern Analysis and Recognition

<p>Introduction: The SIMBAD Project<br/>Marcello Pelillo</p><p>Part I: Foundational Issues</p><p></p><p>Non-Euclidean Dissimilarities: Causes, Embedding and Informativeness<br/>Robert P. W. Duin, Elżbieta Pękalska, and Marco Loog </p><p>SIMBAD: Emergence of Pattern Similarity<br/>Joachim M. Buhmann</p><p>Part II: Deriving Similarities for Non-vectorial Data</p><p>On the Combination of Information Theoretic Kernels with Generative Embeddings<br/>Pedro M. Q. Aguiar, Manuele Bicego, Umberto Castellani, Mário A. T. Figueiredo, André T. Martins, Vittorio Murino, Alessandro Perina, and Aydın Ulaş</p><p>Learning Similarities from Examples under the Evidence Accumulation Clustering Paradigm<br/>Ana L. N. Fred, André Lourenço, Helena Aidos, Samuel Rota Bulò, Nicola Rebagliati, Mário Figueiredo, and Marcello Pelillo </p><p>Part III: Embedding and Beyond</p><p>Geometricity and Embedding<br/>Peng Ren, Furqan Aziz, Lin Han, Eliza Xu, Richard C. Wilson, and Edwin R. Hancock</p><p>Structure Preserving Embedding of Dissimilarity Data<br/>Volker Roth, Thomas J. Fuchs, Julia E. Vogt, Sandhya Prabhakaran, and Joachim M. Buhmann</p><p>A Game-Theoretic Approach to Pairwise Clustering and Matching<br/>Marcello Pelillo, Samuel Rota Bulò, Andrea Torsello, Andrea Albarelli, and Emanuele Rodolà</p><p>Part IV: Applications</p><p>Automated Analysis of Tissue Micro-Array Images on the Example of Renal Cell Carcinoma<br/>Peter J. Schüffler, Thomas J. Fuchs, Cheng Soon Ong, Volker Roth, and Joachim M. Buhmann</p><p>Analysis of Brain Magnetic Resonance (MR) Scans for the Diagnosis of Mental Illness<br/>Aydın Ulaş, Umberto Castellani, Manuele Bicego, Vittorio Murino, Marcella Bellani, Michele Tansella, and Paolo Brambilla</p>