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Graph-Based Representations in Pattern Recognition

9th IAPR-TC-15 International Workshop, GbRPR 2013, Vienna, Austria, May 15-17, 2013, Proceedings

  • Conference proceedings
  • © 2013

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Editors:
  1. Walter G. Kropatsch

    1. Dept. of Pattern Recognition and Image Processing, Vienna University of Technology, Vienna, Austria

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  2. Nicole M. Artner

    1. Dept. of Pattern Recognition and Image Processing, Vienna University of Technology, Vienna, Austria

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  3. Yll Haxhimusa

    1. Dept. of Pattern Recognition and Image Processing, Vienna University of Technology, Vienna, Austria

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  4. Xiaoyi Jiang

    1. Department of Computer Science, University of Münster, Münster, Germany

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  • Conference proceedings of the International Workshop on Graph-Based Representations in Pattern Recognition, Gb.

Part of the book series: Lecture Notes in Computer Science (LNCS, volume 7877)

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

Included in the following conference series:

Conference proceedings info: GbRPR 2013.

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Table of contents (26 papers)

  1. Front Matter

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  2. A One Hour Trip in the World of Graphs, Looking at the Papers of the Last Ten Years

    • Mario Vento
    Pages 1-10

  3. A Unified Framework for Strengthening Topological Node Features and Its Application to Subgraph Isomorphism Detection

    • Nicholas Dahm, Horst Bunke, Terry Caelli, Yongsheng Gao
    Pages 11-20

  4. On the Complexity of Submap Isomorphism

    • Christine Solnon, Guillaume Damiand, Colin de la Higuera, Jean-Christophe Janodet
    Pages 21-30

  5. Flooding Edge Weighted Graphs

    • Fernand Meyer
    Pages 31-40

  6. Graph Matching with Nonnegative Sparse Model

    • Bo Jiang, Jin Tang, Bin Luo
    Pages 41-50

  7. TurboTensors for Entropic Image Comparison

    • Francisco Escolano, Edwin R. Hancock, Boyan Bonev, Miguel Angel Lozano
    Pages 51-60

  8. Active-Learning Query Strategies Applied to Select a Graph Node Given a Graph Labelling

    • Xavier Cortés, Francesc Serratosa
    Pages 61-70

  9. GMTE: A Tool for Graph Transformation and Exact/Inexact Graph Matching

    • Mohamed Amine Hannachi, Ismael Bouassida Rodriguez, Khalil Drira, Saul Eduardo Pomares Hernandez
    Pages 71-80

  10. A Comparison of Explicit and Implicit Graph Embedding Methods for Pattern Recognition

    • Donatello Conte, Jean-Yves Ramel, Nicolas Sidère, Muhammad Muzzamil Luqman, Benoît Gaüzère, Jaume Gibert et al.
    Pages 81-90

  11. Adjunctions on the Lattice of Dendrograms

    • Fernand Meyer
    Pages 91-100

  12. A Continuous-Time Quantum Walk Kernel for Unattributed Graphs

    • Luca Rossi, Andrea Torsello, Edwin R. Hancock
    Pages 101-110

  13. Relevant Cycle Hypergraph Representation for Molecules

    • Benoît Gaüzère, Luc Brun, Didier Villemin
    Pages 111-120

  14. A Quantum Jensen-Shannon Graph Kernel Using the Continuous-Time Quantum Walk

    • Lu Bai, Edwin R. Hancock, Andrea Torsello, Luca Rossi
    Pages 121-131

  15. Treelet Kernel Incorporating Chiral Information

    • Pierre-Anthony Grenier, Luc Brun, Didier Villemin
    Pages 132-141

  16. A Novel Software Toolkit for Graph Edit Distance Computation

    • Kaspar Riesen, Sandro Emmenegger, Horst Bunke
    Pages 142-151

  17. Map Edit Distance vs. Graph Edit Distance for Matching Images

    • Camille Combier, Guillaume Damiand, Christine Solnon
    Pages 152-161

  18. An Algorithm for Maximum Common Subgraph of Planar Triangulation Graphs

    • Yao Lu, Horst Bunke, Cheng-Lin Liu
    Pages 162-171

  19. Graph Characteristics from the Schrödinger Operator

    • Pablo Suau, Edwin R. Hancock, Francisco Escolano
    Pages 172-181

  20. Persistent Homology in Image Processing

    • Herbert Edelsbrunner
    Pages 182-183
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  1. Graph-Based Representations in Pattern Recognition

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About this book

This book constitutes the refereed proceedings of the 9th IAPR-TC-15 International Workshop on Graph-Based Representations in Pattern Recognition, GbRPR 2013, held in Vienna, Austria, in May 2013. The 24 papers presented in this volume were carefully reviewed and selected from 27 submissions. They are organized in topical sections named: finding subregions in graphs; graph matching; classification; graph kernels; properties of graphs; topology; graph representations, segmentation and shape; and search in graphs.

Editors and Affiliations

  • Dept. of Pattern Recognition and Image Processing, Vienna University of Technology, Vienna, Austria

    Walter G. Kropatsch, Nicole M. Artner, Yll Haxhimusa

  • Department of Computer Science, University of Münster, Münster, Germany

    Xiaoyi Jiang

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