Abstract is missing.
- Introduction: The SIMBAD ProjectMarcello Pelillo. 1-10 [doi]
- Non-Euclidean Dissimilarities: Causes, Embedding and InformativenessRobert P. W. Duin, Elzbieta Pekalska, Marco Loog. 13-44 [doi]
- SIMBAD: Emergence of Pattern SimilarityJoachim M. Buhmann. 45-64 [doi]
- On the Combination of Information-Theoretic Kernels with Generative EmbeddingsPedro M. Q. Aguiar, Manuele Bicego, Umberto Castellani, Mário A. T. Figueiredo, André F. T. Martins, Vittorio Murino, Alessandro Perina, Aydin Ulas. 67-83 [doi]
- Learning Similarities from Examples Under the Evidence Accumulation Clustering ParadigmAna L. N. Fred, André Lourenço, Helena Aidos, Samuel Rota Bulò, Nicola Rebagliati, Mário A. T. Figueiredo, Marcello Pelillo. 85-117 [doi]
- Geometricity and EmbeddingPeng Ren, Furqan Aziz, Lin Han, Eliza Xu, Richard C. Wilson, Edwin R. Hancock. 121-155 [doi]
- Structure Preserving Embedding of Dissimilarity DataVolker Roth, Thomas J. Fuchs, Julia E. Vogt, Sandhya Prabhakaran, Joachim M. Buhmann. 157-177 [doi]
- A Game-Theoretic Approach to Pairwise Clustering and MatchingMarcello Pelillo, Samuel Rota Bulò, Andrea Torsello, Andrea Albarelli, Emanuele Rodolà. 179-216 [doi]
- Automated Analysis of Tissue Micro-Array Images on the Example of Renal Cell CarcinomaPeter J. Schüffler, Thomas J. Fuchs, Cheng Soon Ong, Volker Roth, Joachim M. Buhmann. 219-245 [doi]
- Analysis of Brain Magnetic Resonance (MR) Scans for the Diagnosis of Mental IllnessAydin Ulas, Umberto Castellani, Manuele Bicego, Vittorio Murino, Marcella Bellani, Michele Tansella, Paolo Brambilla. 247-287 [doi]