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Graph-Based Representations in Pattern Recognition

12th IAPR-TC-15 International Workshop, GbRPR 2019, Tours, France, June 19–21, 2019, Proceedings

  • Conference proceedings
  • © 2019

Overview

Part of the book series: Lecture Notes in Computer Science (LNCS, volume 11510)

Included in the following conference series:

Conference proceedings info: GbRPR 2019.

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Table of contents (23 papers)

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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 12th IAPR-TC-15 International Workshop on Graph-Based Representation in Pattern Recognition, GbRPR 2019, held in Tours, France, in June 2019.


The 22 full papers included in this volume together with an invited talk were carefully reviewed and selected from 28 submissions. The papers discuss research results and applications at the intersection of pattern recognition, image analysis, and graph theory. They cover topics such as graph edit distance, graph matching, machine learning for graph problems, network and graph embedding, spectral graph problems, and parallel algorithms for graph problems. 






Editors and Affiliations

  • University of Tours, Tours, France

    Donatello Conte, Jean-Yves Ramel

  • University of Salerno, Fisicano, Italy

    Pasquale Foggia

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