Graph-Based Representations in Pattern Recognition
11th IAPR-TC-15 International Workshop, GbRPR 2017, Anacapri, Italy, May 16–18, 2017, Proceedings
Editors: Foggia, Pasquale, Liu, Cheng-Lin, Vento, Mario (Eds.)
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- About this book
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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.
- Table of contents (25 chapters)
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Saliency Detection via A Graph Based Diffusion Model
Pages 3-12
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Shape Simplification Through Graph Sparsification
Pages 13-22
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Reeb Graphs of Piecewise Linear Functions
Pages 23-35
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Learning from Diffusion-Weighted Magnetic Resonance Images Using Graph Kernels
Pages 39-48
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Learning Graph Matching with a Graph-Based Perceptron in a Classification Context
Pages 49-58
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Table of contents (25 chapters)
- Download Preface 1 PDF (48.3 KB)
- Download Sample pages 2 PDF (957.6 KB)
- Download Table of contents PDF (78.4 KB)
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Bibliographic Information
- Bibliographic Information
-
- Book Title
- Graph-Based Representations in Pattern Recognition
- Book Subtitle
- 11th IAPR-TC-15 International Workshop, GbRPR 2017, Anacapri, Italy, May 16–18, 2017, Proceedings
- Editors
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- Pasquale Foggia
- Cheng-Lin Liu
- Mario Vento
- Series Title
- Image Processing, Computer Vision, Pattern Recognition, and Graphics
- Series Volume
- 10310
- Copyright
- 2017
- Publisher
- Springer International Publishing
- Copyright Holder
- Springer International Publishing AG
- eBook ISBN
- 978-3-319-58961-9
- DOI
- 10.1007/978-3-319-58961-9
- Softcover ISBN
- 978-3-319-58960-2
- Edition Number
- 1
- Number of Pages
- XV, 289
- Number of Illustrations
- 70 b/w illustrations
- Topics
