Graph-Based Representations in Pattern Recognition 12th IAPR-TC-15 International Workshop, GbRPR 2019, Tours, France, June 19–21, 2019, Proceedings

Graph-Based Representations in Pattern Recognition 12th IAPR-TC-15 International Workshop, GbRPR 2019, Tours, France, June 19–21, 2019, Proceedings / edited by Donatello Conte, Jean-Yves Ramel, Pasquale Foggia.

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 sel...

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Bibliographic Details
Corporate Author: SpringerLink (Online service)
Other Authors: Conte, Donatello (Editor), Ramel, Jean-Yves (Editor), Foggia, Pasquale (Editor)
Format: eBook
Language:English
Published: Cham : Springer International Publishing : Imprint: Springer, 2019.
Edition:1st ed. 2019.
Series:Image Processing, Computer Vision, Pattern Recognition, and Graphics ; 11510
Springer eBook Collection.
Subjects:
Pattern recognition.
Computer science—Mathematics.
Computer graphics.
Algorithms.
Data structures (Computer science).
Artificial intelligence.
Electronic resources (E-books)
Online Access:Click to view e-book
Holy Cross Note:Loaded electronically.
Electronic access restricted to members of the Holy Cross Community.
Description
Summary: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. .
Physical Description:X, 247 p. 92 illus., 74 illus. in color. online resource.
ISBN:9783030200817
DOI:10.1007/978-3-030-20081-7

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