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Similarity-Based Pattern Recognition

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

  • Edwin Hancock
  • Marcello Pelillo
Conference proceedings SIMBAD 2013

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

Table of contents

  1. Front Matter
  2. Hayato Itoh, Tomoya Sakai, Kazuhiko Kawamoto, Atsushi Imiya
    Pages 26-42
  3. Lee-Ad Gottlieb, Aryeh Kontorovich, Robert Krauthgamer
    Pages 43-58
  4. Frank-Michael Schleif, Andrej Gisbrecht
    Pages 59-74
  5. 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
  6. Francisco Escolano, Edwin R. Hancock, Meizhu Liu, Miguel Angel Lozano
    Pages 90-105
  7. Avishay Friedman, Jacob Goldberger
    Pages 106-119
  8. Nicola Rebagliati, Samuel Rota Bulò, Marcello Pelillo
    Pages 120-133
  9. David Martínez-Rego, Massimiliano Pontil
    Pages 148-159
  10. Maria Florina Balcan, Yingyu Liang
    Pages 160-175
  11. Furqan Aziz, Richard C. Wilson, Edwin R. Hancock
    Pages 176-189
  12. Pablo Suau, Edwin R. Hancock, Francisco Escolano
    Pages 190-203
  13. Luca Rossi, Andrea Torsello, Edwin R. Hancock
    Pages 204-218
  14. Cheng Ye, Richard C. Wilson, César H. Comin, Luciano da F. Costa, Edwin R. Hancock
    Pages 219-234
  15. Olivier Schwander, Frank Nielsen
    Pages 235-249
  16. Alessandro Perina, Manuele Bicego, Umberto Castellani, Vittorio Murino
    Pages 250-264
  17. Duy Tin Truong, Roberto Battiti, Mauro Brunato
    Pages 281-296
  18. Back Matter

About these proceedings

Introduction

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.

Keywords

bio-cryptography generative models graph theory quantum walks structural complexity

Editors and affiliations

  • Edwin Hancock
    • 1
  • Marcello Pelillo
    • 2
  1. 1.Department of Computer ScienceUniversity of YorkYorkUK
  2. 2.DAISUniversità Ca’ FoscariVeniceItaly

Bibliographic information

  • DOI https://doi.org/10.1007/978-3-642-39140-8
  • Copyright Information Springer-Verlag Berlin Heidelberg 2013
  • Publisher Name Springer, Berlin, Heidelberg
  • eBook Packages Computer Science
  • Print ISBN 978-3-642-39139-2
  • Online ISBN 978-3-642-39140-8
  • Series Print ISSN 0302-9743
  • Series Online ISSN 1611-3349
  • Buy this book on publisher's site
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