Graph-Based Representations in Pattern Recognition

11th IAPR-TC-15 International Workshop, GbRPR 2017, Anacapri, Italy, May 16–18, 2017, Proceedings

  • Pasquale Foggia
  • Cheng-Lin Liu
  • Mario Vento
Conference proceedings GbRPR 2017

Part of the Lecture Notes in Computer Science book series (LNCS, volume 10310)

Also part of the Image Processing, Computer Vision, Pattern Recognition, and Graphics book sub series (LNIP, volume 10310)

Table of contents

  1. Front Matter
    Pages I-XV
  2. Image and Shape Analysis

    1. Front Matter
      Pages 1-1
    2. Zhouqin He, Bo Jiang, Yun Xiao, Chris Ding, Bin Luo
      Pages 3-12
    3. Francisco Escolano, Manuel Curado, Silvia Biasotti, Edwin R. Hancock
      Pages 13-22
    4. Barbara Di Fabio, Claudia Landi
      Pages 23-35
  3. Learning and Graph Kernels

    1. Front Matter
      Pages 37-37
    2. Sylvain Takerkart, Gottfried Berton, Nicole Malfait, François-Xavier Dupé
      Pages 39-48
    3. Romain Raveaux, Maxime Martineau, Donatello Conte, Gilles Venturini
      Pages 49-58
    4. Lu Bai, Luca Rossi, Lixin Cui, Edwin R. Hancock
      Pages 59-69
  4. Graph Applications

    1. Front Matter
      Pages 71-71
    2. Dominik Drees, Aaron Scherzinger, Xiaoyi Jiang
      Pages 73-82
    3. Michael Stauffer, Andreas Fischer, Kaspar Riesen
      Pages 83-93
    4. Jianjia Wang, Richard C. Wilson, Edwin R. Hancock
      Pages 94-104
  5. Graph Matching

    1. Front Matter
      Pages 105-105
    2. Pau Riba, Josep Lladós, Alicia Fornés
      Pages 107-117
    3. Sébastien Bougleux, Benoit Gaüzère, Luc Brun
      Pages 118-127
    4. Vincenzo Carletti, Pasquale Foggia, Alessia Saggese, Mario Vento
      Pages 128-139
  6. Large Graphs and Social Networks

    1. Front Matter
      Pages 141-141
    2. Pep Santacruz, Shaima Algabli, Francesc Serratosa
      Pages 143-153
    3. Luca Rossi, Andrea Torsello
      Pages 154-164

About these proceedings

Introduction

This book constitutes the refereed proceedings of the 11th IAPR-TC-15 International Workshop on Graph-Based Representation in Pattern Recognition, GbRPR 2017, held in Anacapri, Italy, in May 2017. The 25 full papers and 2 abstracts of invited papers presented in this volume were carefully reviewed and selected from 31 submissions. The papers  discuss research results and applications in the intersection of pattern recognition, image analysis, graph theory, and also the application of graphs to pattern recognition problems in other fields like computational topology, graphic recognition systems and bioinformatics.

Keywords

complex networks dynamic networks graph algorithms graph matching optimization bipartite graph matching clustering financial markets graph classification graph clustering graph edit distance graph kernels graph-based imagaeand shape analysis graph-based representations large graphs and social network analysis magnetic resonance imaging robustness saliency detection structural pattern recognition

Editors and affiliations

  1. 1.Università degli Studi di SalernoFiscianoItaly
  2. 2.Chinese Academy of SciencesBeijingChina
  3. 3.Università degli Studi di SalernoFiscianoItaly

Bibliographic information

  • DOI https://doi.org/10.1007/978-3-319-58961-9
  • Copyright Information Springer International Publishing AG 2017
  • Publisher Name Springer, Cham
  • eBook Packages Computer Science
  • Print ISBN 978-3-319-58960-2
  • Online ISBN 978-3-319-58961-9
  • Series Print ISSN 0302-9743
  • Series Online ISSN 1611-3349
  • About this book