Structural, Syntactic, and Statistical Pattern Recognition

Joint IAPR International Workshop, S+SSPR 2014, Joensuu, Finland, August 20-22, 2014. Proceedings

  • Pasi Fränti
  • Gavin Brown
  • Marco Loog
  • Francisco Escolano
  • Marcello Pelillo

Part of the Lecture Notes in Computer Science book series (LNCS, volume 8621)

Table of contents

  1. Front Matter
  2. Graph Kernels

    1. Lu Bai, Peng Ren, Xiao Bai, Edwin R. Hancock
      Pages 1-11
    2. Pierre-Anthony Grenier, Luc Brun, Didier Villemin
      Pages 12-21
    3. Andrea Torsello, Andrea Gasparetto, Luca Rossi, Lu Bai, Edwin R. Hancock
      Pages 22-31
  3. Clustering

    1. Mikko I. Malinen, Pasi Fränti
      Pages 32-41
    2. Battista Biggio, Samuel Rota Bulò, Ignazio Pillai, Michele Mura, Eyasu Zemene Mequanint, Marcello Pelillo et al.
      Pages 42-52
    3. Ville Hautamäki, Antti Pöllänen, Tomi Kinnunen, Kong Aik Lee, Haizhou Li, Pasi Fränti
      Pages 53-62
  4. Graph Edit Distance

    1. Kaspar Riesen, Andreas Fischer, Horst Bunke
      Pages 63-72
    2. Benoit Gaüzère, Sébastien Bougleux, Kaspar Riesen, Luc Brun
      Pages 73-82
    3. Andreas Fischer, Réjean Plamondon, Yvon Savaria, Kaspar Riesen, Horst Bunke
      Pages 83-92
  5. Graph Models and Embedding

    1. Brijnesh Jain
      Pages 93-102
    2. Luca Rossi, Andrea Torsello, Edwin R. Hancock
      Pages 103-112
    3. Antonio Robles-Kelly
      Pages 113-122
  6. Discriminant Analysis

  7. Combining and Selecting

    1. Konstantinos Sechidis, Nikolaos Nikolaou, Gavin Brown
      Pages 143-152
    2. Emilie Morvant, Amaury Habrard, Stéphane Ayache
      Pages 153-162
  8. Joint Session

    1. Cheng Ye, Richard C. Wilson, Edwin R. Hancock
      Pages 163-172
    2. George Nagy
      Pages 173-182
  9. Metrics and Dissimilarities

    1. Robert P. W. Duin, Manuele Bicego, Mauricio Orozco-Alzate, Sang-Woon Kim, Marco Loog
      Pages 183-192

About these proceedings

Introduction

This book constitutes the proceedings of the Joint IAPR International Workshop on Structural, Syntactic, and Statistical Pattern Recognition, S+SSPR 2014; comprising the International Workshop on Structural and Syntactic Pattern Recognition, SSPR, and the International Workshop on Statistical Techniques in Pattern Recognition, SPR. The total of 25 full papers and 22 poster papers included in this book were carefully reviewed and selected from 78 submissions. They are organized in topical sections named: graph kernels; clustering; graph edit distance; graph models and embedding; discriminant analysis; combining and selecting; joint session; metrics and dissimilarities; applications; partial supervision; and poster session.

Keywords

complex network genetic algorithms graph theory kernel methods modeling multimedia analysis neural networks object detection pattern recognition perceptron learning random walks ranking

Editors and affiliations

  • Pasi Fränti
    • 1
  • Gavin Brown
    • 2
  • Marco Loog
    • 3
  • Francisco Escolano
    • 4
  • Marcello Pelillo
    • 5
  1. 1.School of ComputingUniversity of Eastern FinlandJoensuuFinland
  2. 2.School of Computer ScienceThe University of ManchesterManchesterUK
  3. 3.Delft University of TechnologyDelftThe Netherlands
  4. 4.Universidad de AlicanteSpain
  5. 5.Università Ca’ Foscari VeneziaVenezia MestreItaly

Bibliographic information

  • DOI https://doi.org/10.1007/978-3-662-44415-3
  • Copyright Information Springer-Verlag Berlin Heidelberg 2014
  • Publisher Name Springer, Berlin, Heidelberg
  • eBook Packages Computer Science
  • Print ISBN 978-3-662-44414-6
  • Online ISBN 978-3-662-44415-3
  • Series Print ISSN 0302-9743
  • Series Online ISSN 1611-3349
  • About this book