Graph-Based Representations in Pattern Recognition : 11th IAPR-TC-15 International Workshop, GbRPR 2017, Anacapri, Italy, May 16–18, 2017, Proceedings / [electronic resource] : / edited by Pasquale Foggia, Cheng-Lin Liu, Mario Vento.. — 1st ed. 2017.. — XV, 289 p. 70 illus. : online resource. — (Image Processing, Computer Vision, Pattern Recognition, and Graphics ;) 10310. - Image Processing, Computer Vision, Pattern Recognition, and Graphics ; 10310 .
Image and shape analysis -- Learning and graph kernels -- Graph applications -- Graph matching -- Large graphs and social networks -- Minging and clustering -- Graph edit distance -- Graphs and information theory.
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Анотація: This book constitutes the refereed proceedings of the 11th IAPR-TC-15 International Workshop on Graph-Based Representation in Pattern Recognition, GbRPR 2017, held in Anacapri, Italy, in May 2017. The 25 full papers and 2 abstracts of invited papers presented in this volume were carefully reviewed and selected from 31 submissions. The papers discuss research results and applications in the intersection of pattern recognition, image analysis, graph theory, and also the application of graphs to pattern recognition problems in other fields like computational topology, graphic recognition systems and bioinformatics.
9783319589619
10.1007/978-3-319-58961-9 doi
Pattern recognition. Optical data processing. Computer graphics. Computer science—Mathematics. Data structures (Computer science). Algorithms. Pattern Recognition. Image Processing and Computer Vision. Computer Graphics. Discrete Mathematics in Computer Science. Data Structures. Algorithm Analysis and Problem Complexity.