Editors:
Part of the book series: Lecture Notes in Computer Science (LNCS, volume 11510)
Part of the book sub series: Image Processing, Computer Vision, Pattern Recognition, and Graphics (LNIP)
Conference series link(s): GbRPR: International Workshop on Graph-Based Representations in Pattern Recognition
Conference proceedings info: GbRPR 2019.
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Table of contents (23 papers)
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Front Matter
About this book
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.
Keywords
- artificial intelligence
- assignment problems
- classification
- feature space
- graph matching
- graph theory
- graph-based
- graphic methods
- heuristic methods
- image analysis
- linear programming
- parallel algorithms
- parallel processing systems
- pattern recognition
- probability
- problem solving
- social networks
- traveling salesman problem
- algorithm analysis and problem complexity
- data structures
Editors and Affiliations
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University of Tours, Tours, France
Donatello Conte, Jean-Yves Ramel
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University of Salerno, Fisicano, Italy
Pasquale Foggia
Bibliographic Information
Book Title: Graph-Based Representations in Pattern Recognition
Book Subtitle: 12th IAPR-TC-15 International Workshop, GbRPR 2019, Tours, France, June 19–21, 2019, Proceedings
Editors: Donatello Conte, Jean-Yves Ramel, Pasquale Foggia
Series Title: Lecture Notes in Computer Science
DOI: https://doi.org/10.1007/978-3-030-20081-7
Publisher: Springer Cham
eBook Packages: Computer Science, Computer Science (R0)
Copyright Information: Springer Nature Switzerland AG 2019
Softcover ISBN: 978-3-030-20080-0Published: 16 May 2019
eBook ISBN: 978-3-030-20081-7Published: 10 June 2019
Series ISSN: 0302-9743
Series E-ISSN: 1611-3349
Edition Number: 1
Number of Pages: X, 247
Number of Illustrations: 18 b/w illustrations, 74 illustrations in colour
Topics: Pattern Recognition, Discrete Mathematics in Computer Science, Computer Graphics, Algorithm Analysis and Problem Complexity, Data Structures, Artificial Intelligence
