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ORCIDSIMBAD 2011: Venice, Italy
- Marcello Pelillo, Edwin R. Hancock:
Similarity-Based Pattern Recognition - First International Workshop, SIMBAD 2011, Venice, Italy, September 28-30, 2011. Proceedings. Lecture Notes in Computer Science 7005, Springer 2011, ISBN 978-3-642-24470-4
Dissimilarity Characterization and Analysis
- Emilie Morvant, Amaury Habrard, Stéphane Ayache:
On the Usefulness of Similarity Based Projection Spaces for Transfer Learning. 1-16 - Aryeh Kontorovich, Danny Hendler, Eitan Menahem:
Metric Anomaly Detection via Asymmetric Risk Minimization. 17-30 - Orit Kliper-Gross, Tal Hassner, Lior Wolf:
One Shot Similarity Metric Learning for Action Recognition. 31-45 - Bernhard Moser
, Gernot Stübl, Jean-Luc Bouchot:
On a Non-monotonicity Effect of Similarity Measures. 46-60 - Oscar Sánchez Siordia, Isaac Martín de Diego, Cristina Conde, Enrique Cabello:
Section-Wise Similarities for Clustering and Outlier Detection of Subjective Sequential Data. 61-76
Generative Models of Similarity Data
- Aydin Ulas, Peter J. Schüffler, Manuele Bicego, Umberto Castellani, Vittorio Murino:
Hybrid Generative-Discriminative Nucleus Classification of Renal Cell Carcinoma. 77-89 - Luca Cazzanti, Sergey Feldman, Maya R. Gupta, Michael Gabbay:
Multi-task Regularization of Generative Similarity Models. 90-103 - André Lourenço, Ana L. N. Fred, Mário A. T. Figueiredo:
A Generative Dyadic Aspect Model for Evidence Accumulation Clustering. 104-116
Graph Based and Relational Models
- Andrea Torsello, Luca Rossi:
Supervised Learning of Graph Structure. 117-132 - Lin Han, Edwin R. Hancock, Richard C. Wilson:
An Information Theoretic Approach to Learning Generative Graph Prototypes. 133-148 - Furqan Aziz, Richard C. Wilson, Edwin R. Hancock:
Graph Characterization via Backtrackless Paths. 149-162 - Aureo Serrano, Luisa Micó, José Oncina:
Impact of the Initialization in Tree-Based Fast Similarity Search Techniques. 163-176
Clustering and Dissimilarity Data
- Aykut Erdem, Erkut Erdem:
Multiple-Instance Learning with Instance Selection via Dominant Sets. 177-191 - Konstantin Voevodski, Maria-Florina Balcan, Heiko Röglin, Shang-Hua Teng, Yu Xia:
Min-sum Clustering of Protein Sequences with Limited Distance Information. 192-206 - Ludwig M. Busse, Joachim M. Buhmann:
Model-Based Clustering of Inhomogeneous Paired Comparison Data. 207-221 - David M. J. Tax, Marco Loog, Robert P. W. Duin, Veronika Cheplygina, Wan-Jui Lee:
Bag Dissimilarities for Multiple Instance Learning. 222-234 - Zhihong Zhang, Edwin R. Hancock:
Mutual Information Criteria for Feature Selection. 235-249
Applications
- Mehmet Gönen, Aydin Ulas, Peter J. Schüffler, Umberto Castellani, Vittorio Murino:
Combining Data Sources Nonlinearly for Cell Nucleus Classification of Renal Cell Carcinoma. 250-260 - Emanuele Olivetti, Paolo Avesani:
Supervised Segmentation of Fiber Tracts. 261-274 - Riccardo Satta, Giorgio Fumera, Fabio Roli:
Exploiting Dissimilarity Representations for Person Re-identification. 275-289
Spectral Methods and Embedding
- Helena Aidos, Ana L. N. Fred:
A Study of Embedding Methods under the Evidence Accumulation Framework. 290-305 - Diana Porro-Muñoz, Robert P. W. Duin, Isneri Talavera-Bustamante, Mauricio Orozco-Alzate:
A Study on the Influence of Shape in Classifying Small Spectral Data Sets. 306-320 - Muhammad Haseeb, Edwin R. Hancock:
Feature Point Matching Using a Hermitian Property Matrix. 321-332
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