Graph-Based Representations in Pattern Recognition Graph-Based Representations in Pattern Recognition

Graph-Based Representations in Pattern Recognition

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

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Descrição da editora

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. 

GÉNERO
Computadores e Internet
LANÇADO
2019
10 de junho
IDIOMA
EN
Inglês
PÁGINAS
257
EDITORA
Springer International Publishing
INFORMAÇÕES DO FORNECEDOR
Springer Science & Business Media LLC
TAMANHO
24
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