Similarity-based pattern recognition first International Workshop, SIMBAD 2011, Venice, Italy, September 28-30, 2011. Proceedings /

This book constitutes the proceedings of the First International Workshop on Similarity Based Pattern Recognition, SIMBAD 2011, held in Venice, Italy, in September 2011. The 16 full papers and 7 poster papers presented were carefully reviewed and selected from 35 submissions. The contributions are o...

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Corporate Authors: SIMBAD Venice, Italy)
Other Authors: SIMBAD, Pelillo, Marcello., Hancock, Edwin R., SpringerLink (Online service)
Format: eBook
Language: English
Published: Berlin ; New York : Springer, ©2011.
Berlin ; New York : [2011]
Physical Description: 1 online resource (xii, 332 pages) : illustrations.
Series: Lecture notes in computer science ; 7005.
LNCS sublibrary. Image processing, computer vision, pattern recognition, and graphics.
Subjects:
Table of Contents:
  • Machine generated contents note:
  • On the Usefulness of Similarity Based Projection Spaces for Transfer Learning
  • Metric Anomaly Detection via Asymmetric Risk Minimization /
  • Stéphane Ayache /
  • Amaury Habrard /
  • Emilie Morvant
  • One Shot Similarity Metric Learning for Action Recognition /
  • Eitan Menahem /
  • Danny Bendier /
  • Aryeh Kontorovich
  • On a Non-monotonicity Effect of Similarity Measures /
  • Tal Hassner /
  • Lior Wolf /
  • Orit Kliper-Gross
  • Section-Wise Similarities for Clustering and Outlier Detection of Subjective Sequential Data /
  • Jean-Luc Bouchot /
  • Bernhard Moser /
  • Gernot Stübl
  • Hybrid Generative-Discriminative Nucleus Classification of Renal Cell Carcinoma /
  • Isaac Martin de Diego /
  • Enrique Cabello /
  • Cristina Conde /
  • Oscar S. Siordia
  • Multi-task Regularization of Generative Similarity Models /
  • Manuele Bicego /
  • Peter J. Schüffler /
  • Vittorio Murino /
  • Umberto Castellani /
  • Aydin Ulas
  • Generative Dyadic Aspect Model for Evidence Accumulation Clustering /
  • Michael Gabbay /
  • Maya R. Gupta /
  • Sergey Feldman /
  • Luca Cazzanti
  • Supervised Learning of Graph Structure /
  • André Lourenço /
  • Ana Fred /
  • Mário Figueiredo
  • Information Theoretic Approach to Learning Generative Graph Prototypes /
  • Luca Rossi /
  • Andrea Torsello
  • Graph Characterization via Backtrackless Paths /
  • Lin Han /
  • Edwin R. Hancock /
  • Richard C. Wilson
  • Impact of the Initialization in nee-Based Fast Similarity Search Techniques /
  • Furqan Aziz /
  • Edwin R. Hancock /
  • Richard C. Wilson
  • Multiple-Instance Learning with Instance Selection via Dominant Sets /
  • Jose Oncina /
  • Luisa Micó /
  • Aureo Serrano
  • Min-Sum Clustering of Protein Sequences with Limited Distance Information /
  • Aykut Erdem /
  • Erkut Erdem
  • Model-Based Clustering of Inhomogeneous Paired Comparison Data /
  • Maria-Florina Balcan /
  • Heiko Röglin /
  • Shang-Hua Teng /
  • Yu Xia /
  • Konstantin Voevodski.
  • Note continued:
  • Bag Dissimilarities for Multiple Instance Learning /
  • Ludwig M. Busse /
  • Joachim M. Buhmann
  • Mutual Information Criteria for Feature Selection /
  • David M.J. Tax /
  • Marco Loog /
  • Robert P.W. Damn /
  • Veronika Cheplygina /
  • Wan-Jui Lee
  • Combining Data Sources Nonlinearly for Cell Nucleus Classification of Renal Cell Carcinoma /
  • Edwin R. Hancock /
  • Zhihong Zhang
  • Supervised Segmentation of Fiber Tracts /
  • Umberto Castellani /
  • Vittorio Murino /
  • Peter Schüffler /
  • Aydin Ulas /
  • Mehmet Gönen
  • Exploiting Dissimilarity Representations for Person Re-identification /
  • Emanuele Olivetti /
  • Paolo Avesani
  • Study of Embedding Methods under the Evidence Accumulation Framework /
  • Giorgio Riviera /
  • Fabio Roli /
  • Riccardo Satta
  • Study on the Influence of Shape in Classifying Small Spectral Data Sets /
  • Helena Aidos /
  • Ana Fred
  • Feature Point Matching Using a Hermitian Property Matrix /
  • Isneri Talavera /
  • Mauricio Orozeo-Alzate /
  • Robert P.W. Duin /
  • Diana Porro-Muñoz.