Skip to main content
SpringerLink
Log in

Graph-Based Representations in Pattern Recognition

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

  • Conference proceedings
  • © 2017

Overview

Editors:
  1. Pasquale Foggia

    1. Università degli Studi di Salerno, Fisciano, Italy

    View editor publications

    You can also search for this editor in PubMed   Google Scholar

  2. Cheng-Lin Liu

    1. Chinese Academy of Sciences, Beijing, China

    View editor publications

    You can also search for this editor in PubMed   Google Scholar

  3. Mario Vento

    1. Università degli Studi di Salerno, Fisciano, Italy

    View editor publications

    You can also search for this editor in PubMed   Google Scholar

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

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 2017.

This is a preview of subscription content, log in via an institution to check access.

Access this book

Log in via an institution
eBook USD 39.99
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book USD 54.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Other ways to access

Licence this eBook for your library

Institutional subscriptions

Table of contents (25 papers)

  1. Front Matter

    Pages I-XV
    Download chapter PDF

  2. Image and Shape Analysis

    1. Front Matter

      Pages 1-1
      Download chapter PDF

    2. Saliency Detection via A Graph Based Diffusion Model

      • Zhouqin He, Bo Jiang, Yun Xiao, Chris Ding, Bin Luo
      Pages 3-12

    3. Shape Simplification Through Graph Sparsification

      • Francisco Escolano, Manuel Curado, Silvia Biasotti, Edwin R. Hancock
      Pages 13-22

    4. Reeb Graphs of Piecewise Linear Functions

      • Barbara Di Fabio, Claudia Landi
      Pages 23-35

  3. Learning and Graph Kernels

    1. Front Matter

      Pages 37-37
      Download chapter PDF

    2. Learning from Diffusion-Weighted Magnetic Resonance Images Using Graph Kernels

      • Sylvain Takerkart, Gottfried Berton, Nicole Malfait, François-Xavier Dupé
      Pages 39-48

    3. Learning Graph Matching with a Graph-Based Perceptron in a Classification Context

      • Romain Raveaux, Chloé Martineau, Donatello Conte, Gilles Venturini
      Pages 49-58

    4. A Nested Alignment Graph Kernel Through the Dynamic Time Warping Framework

      • Lu Bai, Luca Rossi, Lixin Cui, Edwin R. Hancock
      Pages 59-69

  4. Graph Applications

    1. Front Matter

      Pages 71-71
      Download chapter PDF

    2. GERoMe – A Novel Graph Extraction Robustness Measure

      • Dominik Drees, Aaron Scherzinger, Xiaoyi Jiang
      Pages 73-82

    3. Speeding-Up Graph-Based Keyword Spotting in Historical Handwritten Documents

      • Michael Stauffer, Andreas Fischer, Kaspar Riesen
      Pages 83-93

    4. Detecting Alzheimer’s Disease Using Directed Graphs

      • Jianjia Wang, Richard C. Wilson, Edwin R. Hancock
      Pages 94-104

  5. Graph Matching

    1. Front Matter

      Pages 105-105
      Download chapter PDF

    2. Error-Tolerant Coarse-to-Fine Matching Model for Hierarchical Graphs

      • Pau Riba, Josep Lladós, Alicia Fornés
      Pages 107-117

    3. A Hungarian Algorithm for Error-Correcting Graph Matching

      • Sébastien Bougleux, Benoit Gaüzère, Luc Brun
      Pages 118-127

    4. Introducing VF3: A New Algorithm for Subgraph Isomorphism

      • Vincenzo Carletti, Pasquale Foggia, Alessia Saggese, Mario Vento
      Pages 128-139

  6. Large Graphs and Social Networks

    1. Front Matter

      Pages 141-141
      Download chapter PDF

    2. Node Matching Computation Between Two Large Graphs in Linear Computational Cost

      • Pep Santacruz, Shaima Algabli, Francesc Serratosa
      Pages 143-153

    3. Measuring Vertex Centrality Using the Holevo Quantity

      • Luca Rossi, Andrea Torsello
      Pages 154-164
Back to top

Other volumes

  1. Graph-Based Representations in Pattern Recognition

Keywords

About this book

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.

Editors and Affiliations

  • Università degli Studi di Salerno, Fisciano, Italy

    Pasquale Foggia, Mario Vento

  • Chinese Academy of Sciences, Beijing, China

    Cheng-Lin Liu

Bibliographic Information

Publish with us

Policies and ethics

Back to top

Search

Navigation