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Graph-Based Representations in Pattern Recognition: Lecture Notes in Computer Science, cartea 10310

Editat de Pasquale Foggia, Cheng-Lin Liu, Mario Vento
en Limba Engleză Paperback – 10 mai 2017
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.
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Specificații

ISBN-13: 9783319589602
ISBN-10: 3319589601
Pagini: 308
Ilustrații: XV, 289 p. 100 illus., 60 illus. in color.
Dimensiuni: 155 x 235 x 17 mm
Greutate: 0.47 kg
Ediția:1st edition 2017
Editura: Springer
Colecția Lecture Notes in Computer Science
Seria Lecture Notes in Computer Science

Locul publicării:Cham, Switzerland

Cuprins

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.

Caracteristici

Includes supplementary material: sn.pub/extras