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Graph-Based Representations in Pattern Recognition Image Processing, Computer Vision, Pattern Recognition, and Graphics

Graph-Based Representations in Pattern Recognition Image Processing, Computer Vision, Pattern Recognition, and Graphics 12th IAPR-TC-15 International Workshop, GbRPR 2019, Tours, France, June 19-21, 2019, Proceedings - Lecture Notes in Computer Science

Paperback (16 May 2019)

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Publisher's 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. 



Book information

ISBN: 9783030200800
Publisher: Springer International Publishing
Imprint: Springer
Pub date:
Language: English
Number of pages: 247
Weight: 367g
Height: 235mm
Width: 155mm
Spine width: 14mm