Abstract is missing.
- On the Usefulness of Similarity Based Projection Spaces for Transfer LearningEmilie Morvant, Amaury Habrard, Stéphane Ayache. 1-16 [doi]
- Metric Anomaly Detection via Asymmetric Risk MinimizationAryeh Kontorovich, Danny Hendler, Eitan Menahem. 17-30 [doi]
- One Shot Similarity Metric Learning for Action RecognitionOrit Kliper-Gross, Tal Hassner, Lior Wolf. 31-45 [doi]
- On a Non-monotonicity Effect of Similarity MeasuresBernhard Moser, Gernot Stübl, Jean-Luc Bouchot. 46-60 [doi]
- Section-Wise Similarities for Clustering and Outlier Detection of Subjective Sequential DataOscar Sánchez Siordia, Isaac Martín de Diego, Cristina Conde, Enrique Cabello. 61-76 [doi]
- Hybrid Generative-Discriminative Nucleus Classification of Renal Cell CarcinomaAydin Ulas, Peter J. Schüffler, Manuele Bicego, Umberto Castellani, Vittorio Murino. 77-89 [doi]
- Multi-task Regularization of Generative Similarity ModelsLuca Cazzanti, Sergey Feldman, Maya R. Gupta, Michael Gabbay 0002. 90-103 [doi]
- A Generative Dyadic Aspect Model for Evidence Accumulation ClusteringAndré Lourenço, Ana L. N. Fred, Mário A. T. Figueiredo. 104-116 [doi]
- Supervised Learning of Graph StructureAndrea Torsello, Luca Rossi 0004. 117-132 [doi]
- An Information Theoretic Approach to Learning Generative Graph PrototypesLin Han, Edwin R. Hancock, Richard C. Wilson. 133-148 [doi]
- Graph Characterization via Backtrackless PathsFurqan Aziz, Richard C. Wilson, Edwin R. Hancock. 149-162 [doi]
- Impact of the Initialization in Tree-Based Fast Similarity Search TechniquesAureo Serrano, Luisa Micó, José Oncina. 163-176 [doi]
- Multiple-Instance Learning with Instance Selection via Dominant SetsAykut Erdem, Erkut Erdem. 177-191 [doi]
- Min-sum Clustering of Protein Sequences with Limited Distance InformationKonstantin Voevodski, Maria-Florina Balcan, Heiko Röglin, Shang-Hua Teng, Yu Xia. 192-206 [doi]
- Model-Based Clustering of Inhomogeneous Paired Comparison DataLudwig M. Busse, Joachim M. Buhmann. 207-221 [doi]
- Bag Dissimilarities for Multiple Instance LearningDavid M. J. Tax, Marco Loog, Robert P. W. Duin, Veronika Cheplygina, Wan-Jui Lee. 222-234 [doi]
- Mutual Information Criteria for Feature SelectionZhihong Zhang, Edwin R. Hancock. 235-249 [doi]
- Combining Data Sources Nonlinearly for Cell Nucleus Classification of Renal Cell CarcinomaMehmet Gönen, Aydin Ulas, Peter J. Schüffler, Umberto Castellani, Vittorio Murino. 250-260 [doi]
- Supervised Segmentation of Fiber TractsEmanuele Olivetti, Paolo Avesani. 261-274 [doi]
- Exploiting Dissimilarity Representations for Person Re-identificationRiccardo Satta, Giorgio Fumera, Fabio Roli. 275-289 [doi]
- A Study of Embedding Methods under the Evidence Accumulation FrameworkHelena Aidos, Ana L. N. Fred. 290-305 [doi]
- A Study on the Influence of Shape in Classifying Small Spectral Data SetsDiana Porro-Muñoz, Robert P. W. Duin, Isneri Talavera-Bustamante, Mauricio Orozco-Alzate. 306-320 [doi]
- Feature Point Matching Using a Hermitian Property MatrixMuhammad Haseeb, Edwin R. Hancock. 321-332 [doi]