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Graph-Based Representations in Pattern Recognition

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Graph-Based Representations in Pattern Recognition Synopsis

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.

About This Edition

ISBN: 9783030200800
Publication date:
Author: Donatello Conte
Publisher: Springer Nature Switzerland AG
Format: Paperback
Pagination: 247 pages
Series: Lecture Notes in Computer Science
Genres: Pattern recognition
Maths for computer scientists
Discrete mathematics
Graphics programming
Algorithms and data structures
Databases
Artificial intelligence

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