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Similarity-Based Pattern Recognition

Second International Workshop, SIMBAD 2013, York, UK, July 3-5, 2013, Proceedings

  • Conference proceedings
  • © 2013

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Editors:
  1. Edwin Hancock

    1. Department of Computer Science, University of York, York, UK

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  2. Marcello Pelillo

    1. DAIS, Università Ca’ Foscari, Venice, Italy

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    You can also search for this editor in PubMed   Google Scholar

  • Conference proceedings of the International Workshop on Similarity Based Pattern Analysis and Recognition, SIMBAD 2013

Part of the book series: Lecture Notes in Computer Science (LNCS, volume 7953)

Part of the book sub series: Image Processing, Computer Vision, Pattern Recognition, and Graphics (LNIP)

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Conference proceedings info: SIMBAD 2013.

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Table of contents (19 papers)

  1. Front Matter

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  2. Pattern Learning and Recognition on Statistical Manifolds: An Information-Geometric Review

    • Frank Nielsen
    Pages 1-25

  3. Dimension Reduction Methods for Image Pattern Recognition

    • Hayato Itoh, Tomoya Sakai, Kazuhiko Kawamoto, Atsushi Imiya
    Pages 26-42

  4. Efficient Regression in Metric Spaces via Approximate Lipschitz Extension

    • Lee-Ad Gottlieb, Aryeh Kontorovich, Robert Krauthgamer
    Pages 43-58

  5. Data Analysis of (Non-)Metric Proximities at Linear Costs

    • Frank-Michael Schleif, Andrej Gisbrecht
    Pages 59-74

  6. On the Informativeness of Asymmetric Dissimilarities

    • Yenisel Plasencia-Calaña, Veronika Cheplygina, Robert P. W. Duin, Edel B. García-Reyes, Mauricio Orozco-Alzate, David M. J. Tax et al.
    Pages 75-89

  7. Information-Theoretic Dissimilarities for Graphs

    • Francisco Escolano, Edwin R. Hancock, Meizhu Liu, Miguel Angel Lozano
    Pages 90-105

  8. Information Theoretic Pairwise Clustering

    • Avishay Friedman, Jacob Goldberger
    Pages 106-119

  9. Correlation Clustering with Stochastic Labellings

    • Nicola Rebagliati, Samuel Rota Bulò, Marcello Pelillo
    Pages 120-133

  10. Break and Conquer: Efficient Correlation Clustering for Image Segmentation

    • Amir Alush, Jacob Goldberger
    Pages 134-147

  11. Multi-task Averaging via Task Clustering

    • David Martínez-Rego, Massimiliano Pontil
    Pages 148-159

  12. Modeling and Detecting Community Hierarchies

    • Maria Florina Balcan, Yingyu Liang
    Pages 160-175

  13. Graph Characterization Using Gaussian Wave Packet Signature

    • Furqan Aziz, Richard C. Wilson, Edwin R. Hancock
    Pages 176-189

  14. Analysis of the Schrödinger Operator in the Context of Graph Characterization

    • Pablo Suau, Edwin R. Hancock, Francisco Escolano
    Pages 190-203

  15. Attributed Graph Similarity from the Quantum Jensen-Shannon Divergence

    • Luca Rossi, Andrea Torsello, Edwin R. Hancock
    Pages 204-218

  16. Entropy and Heterogeneity Measures for Directed Graphs

    • Cheng Ye, Richard C. Wilson, César H. Comin, Luciano da F. Costa, Edwin R. Hancock
    Pages 219-234

  17. Fast Learning of Gamma Mixture Models with k-MLE

    • Olivier Schwander, Frank Nielsen
    Pages 235-249

  18. Exploiting Geometry in Counting Grids

    • Alessandro Perina, Manuele Bicego, Umberto Castellani, Vittorio Murino
    Pages 250-264

  19. On the Dissimilarity Representation and Prototype Selection for Signature-Based Bio-cryptographic Systems

    • George S. Eskander, Robert Sabourin, Eric Granger
    Pages 265-280

  20. A Repeated Local Search Algorithm for BiClustering of Gene Expression Data

    • Duy Tin Truong, Roberto Battiti, Mauro Brunato
    Pages 281-296
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About this book

This book constitutes the proceedings of the Second International Workshop on Similarity Based Pattern Analysis and Recognition, SIMBAD 2013, which was held in York, UK, in July 2013. The 18 papers presented were carefully reviewed and selected from 33 submissions. They cover a wide range of problems and perspectives, from supervised to unsupervised learning, from generative to discriminative models, from theoretical issues to real-world practical applications, and offer a timely picture of the state of the art in the field.

Editors and Affiliations

  • Department of Computer Science, University of York, York, UK

    Edwin Hancock

  • DAIS, Università Ca’ Foscari, Venice, Italy

    Marcello Pelillo

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