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Graph-Based Representations in Pattern Recognition: 11th IAPR-TC-15 International Workshop, GbRPR 2017, Anacapri, Italy, May 1618, 2017, Proceedings 1st ed. 2017 [Mīkstie vāki]

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  • Formāts: Paperback / softback, 289 pages, height x width: 235x155 mm, weight: 4686 g, 60 Illustrations, color; 40 Illustrations, black and white; XV, 289 p. 100 illus., 60 illus. in color., 1 Paperback / softback
  • Sērija : Image Processing, Computer Vision, Pattern Recognition, and Graphics 10310
  • Izdošanas datums: 10-May-2017
  • Izdevniecība: Springer International Publishing AG
  • ISBN-10: 3319589601
  • ISBN-13: 9783319589602
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  • Mīkstie vāki
  • Cena: 46,91 €*
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Graph-Based Representations in Pattern Recognition: 11th IAPR-TC-15 International Workshop, GbRPR 2017, Anacapri, Italy, May 1618, 2017, Proceedings 1st ed. 2017Palielināt
  • Formāts: Paperback / softback, 289 pages, height x width: 235x155 mm, weight: 4686 g, 60 Illustrations, color; 40 Illustrations, black and white; XV, 289 p. 100 illus., 60 illus. in color., 1 Paperback / softback
  • Sērija : Image Processing, Computer Vision, Pattern Recognition, and Graphics 10310
  • Izdošanas datums: 10-May-2017
  • Izdevniecība: Springer International Publishing AG
  • ISBN-10: 3319589601
  • ISBN-13: 9783319589602
Citas grāmatas par šo tēmu:
Permanent link: https://www.kriso.lv/db/9783319589602.html
Keywords:
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.
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.