Graph-Based Representations in Pattern Recognition (Repost)

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Donatello Conte, Jean-Yves Ramel, Pasquale Foggia, "Graph-Based Representations in Pattern Recognition"
English | 2019 | ISBN: 3030200809 | PDF | pages: 257 | 20.8 mb
This book constitutes the refereed proceedings of the 12th IAPR-TC-15International Workshop on Graph-Based Representation in PatternRecognition, GbRPR 2019, held in Tours, France, in June 2019.

The 22 full papers included in this volume together with an invited talkwere carefully reviewed and selected from 28 submissions. Thepapers discuss research results and applications at the intersection ofpattern 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.

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