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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Descripción editorial

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
Informática e Internet
PUBLICADO
2019
10 de junio
IDIOMA
EN
Inglés
EXTENSIÓN
257
Páginas
EDITORIAL
Springer International Publishing
VENDEDOR
Springer Nature B.V.
TAMAÑO
24
MB
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