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Graph-Based Representations in Pattern Recognition

7th IAPR-TC-15 International Workshop, GbRPR 2009, Venice, Italy, May 26-28, 2009. Proceedings

  • Andrea Torsello
  • Francisco Escolano
  • Luc Brun
Conference proceedings GbRPR 2009

Part of the Lecture Notes in Computer Science book series (LNCS, volume 5534)

Table of contents

  1. Front Matter
  2. Graph-Based Representation and Recognition

    1. Nadia Payet, Sinisa Todorovic
      Pages 1-10
    2. François-Xavier Dupé, Luc Brun
      Pages 11-20
    3. Bassam Mokbel, Alexander Hasenfuss, Barbara Hammer
      Pages 42-51
    4. Alex Aussem, Sergio Rodrigues de Morais, Marilys Corbex, Joël Favrel
      Pages 52-61
    5. Leila De Floriani, Daniele Panozzo, Annie Hui
      Pages 62-71
    6. Nicole Artner, Adrian Ion, Walter G. Kropatsch
      Pages 82-91
    7. Steffen Wachenfeld, Klaus Broelemann, Xiaoyi Jiang, Antonio Krüger
      Pages 92-101
  3. Graph Matching

    1. Guillaume Damiand, Colin de la Higuera, Jean-Christophe Janodet, Émilie Samuel, Christine Solnon
      Pages 102-112
    2. M. Ferrer, D. Karatzas, E. Valveny, H. Bunke
      Pages 113-123
    3. Kaspar Riesen, Stefan Fankhauser, Horst Bunke, Peter Dickinson
      Pages 124-133
    4. Benjamin Raynal, Michel Couprie, Venceslas Biri
      Pages 134-143
    5. David Knossow, Avinash Sharma, Diana Mateus, Radu Horaud
      Pages 144-153
    6. Salim Jouili, Salvatore Tabbone
      Pages 154-163
  4. Graph Clustering and Classification

    1. João Paulo Papa, Alexandre Xavier Falcão
      Pages 195-204
    2. Kaspar Riesen, Volkmar Frinken, Horst Bunke
      Pages 205-214
    3. Walter C. Mankowski, Peter Bogunovich, Ali Shokoufandeh, Dario D. Salvucci
      Pages 215-222
    4. Marcelo Hashimoto, Roberto M. Cesar Jr.
      Pages 223-232
    5. Hewayda ElGhawalby, Edwin R. Hancock
      Pages 233-242
    6. Peng Ren, Richard C. Wilson, Edwin R. Hancock
      Pages 243-252
    7. Francisco Escolano, Daniela Giorgi, Edwin R. Hancock, Miguel A. Lozano, Bianca Falcidieno
      Pages 253-262
  5. Pyramids, Combinatorial Maps, and Homologies

    1. Rocio Gonzalez-Diaz, Adrian Ion, Mabel Iglesias-Ham, Walter G. Kropatsch
      Pages 263-272
    2. Fabien Baldacci, Achille Braquelaire, Guillaume Damiand
      Pages 283-292
    3. Sébastien Fourey, Luc Brun
      Pages 304-313
    4. Pedro Real, Helena Molina-Abril
      Pages 314-323
    5. Rimon Elias, Mohab Al Ashraf, Omar Aly
      Pages 324-333
  6. Graph-Based Segmentation

    1. Anders Bjorholm Dahl, Peter Bogunovich, Ali Shokoufandeh
      Pages 343-352
    2. Johannes Keustermans, Dieter Seghers, Wouter Mollemans, Dirk Vandermeulen, Paul Suetens
      Pages 353-365
  7. Back Matter

About these proceedings

Introduction

This book constitutes the refereed proceedings of the 7th IAPR-TC-15 International Workshop on Graph-Based Representations in Pattern Recognition, GbRPR 2009, held in Venice, Italy in May 2009.

The 37 revised full papers presented were carefully reviewed and selected from 47 submissions. The papers are organized in topical sections on graph-based representation and recognition, graph matching, graph clustering and classification, pyramids, combinatorial maps, and homologies, as well as graph-based segmentation.

Keywords

Hashing adjancency matrix algorithms calculus classification complexity image segmentation medi multi-scale analysis musical data object clustering object detection object tracking pattern recognition shape matching

Editors and affiliations

  • Andrea Torsello
    • 1
  • Francisco Escolano
    • 2
  • Luc Brun
    • 3
  1. 1.“Ca’ Foscari” University of VeniceItaly
  2. 2.Department of Computer Science and Artificial IntelligenceAlicante UniversityAlicanteSpain
  3. 3.GREYC CNRS UMR 6072, Image TeamUniversité de Caen Basse-NormandieCaen CedexFrance

Bibliographic information

  • DOI https://doi.org/10.1007/978-3-642-02124-4
  • Copyright Information Springer-Verlag Berlin Heidelberg 2009
  • Publisher Name Springer, Berlin, Heidelberg
  • eBook Packages Computer Science
  • Print ISBN 978-3-642-02123-7
  • Online ISBN 978-3-642-02124-4
  • Series Print ISSN 0302-9743
  • Series Online ISSN 1611-3349
  • Buy this book on publisher's site