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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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. 

ЖАНР
Компьютеры и Интернет
РЕЛИЗ
2019
10 июня
ЯЗЫК
EN
английский
ОБЪЕМ
257
стр.
ИЗДАТЕЛЬ
Springer International Publishing
ПРОДАВЕЦ
Springer Nature B.V.
РАЗМЕР
24
МБ
Graph-Based Representations in Pattern Recognition Graph-Based Representations in Pattern Recognition
2017
Structural, Syntactic, and Statistical Pattern Recognition Structural, Syntactic, and Statistical Pattern Recognition
2018
Structural, Syntactic, and Statistical Pattern Recognition Structural, Syntactic, and Statistical Pattern Recognition
2021
Structural, Syntactic, and Statistical Pattern Recognition Structural, Syntactic, and Statistical Pattern Recognition
2023
Structural Pattern Recognition with Graph Edit Distance Structural Pattern Recognition with Graph Edit Distance
2016
Pattern Recognition Pattern Recognition
2018
Graph-Based Representations in Pattern Recognition Graph-Based Representations in Pattern Recognition
2023
Deep Learning Theory and Applications Deep Learning Theory and Applications
2023