Graph-Based Representations in Pattern Recognition
10th IAPR-TC-15 International Workshop, GbRPR 2015, Beijing, China, May 13-15, 2015. Proceedings
Editors: Liu, C.-L., Luo, B., Kropatsch, W.G., Cheng, J. (Eds.)
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- About this book
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This book constitutes the refereed proceedings of the 10th IAPR-TC-15 International Workshop on Graph-Based Representations in Pattern Recognition, GbRPR 2015, held in Beijing, China, in May 2015. The 36 papers presented in this volume were carefully reviewed and selected from 53 submissions. The accepted papers cover diverse issues of graph-based methods and applications, with 7 in graph representation, 15 in graph matching, 7 in graph clustering and classification, and 7 in graph-based applications.
- Table of contents (36 chapters)
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Approximation of Graph Edit Distance in Quadratic Time
Pages 3-12
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Data Graph Formulation as the Minimum-Weight Maximum-Entropy Problem
Pages 13-22
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An Entropic Edge Assortativity Measure
Pages 23-33
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A Subpath Kernel for Learning Hierarchical Image Representations
Pages 34-43
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Coupled-Feature Hypergraph Representation for Feature Selection
Pages 44-53
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Table of contents (36 chapters)
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Bibliographic Information
- Bibliographic Information
-
- Book Title
- Graph-Based Representations in Pattern Recognition
- Book Subtitle
- 10th IAPR-TC-15 International Workshop, GbRPR 2015, Beijing, China, May 13-15, 2015. Proceedings
- Editors
-
- Cheng-Lin Liu
- Bin Luo
- Walter G. Kropatsch
- Jian Cheng
- Series Title
- Image Processing, Computer Vision, Pattern Recognition, and Graphics
- Series Volume
- 9069
- Copyright
- 2015
- Publisher
- Springer International Publishing
- Copyright Holder
- Springer International Publishing Switzerland
- eBook ISBN
- 978-3-319-18224-7
- DOI
- 10.1007/978-3-319-18224-7
- Softcover ISBN
- 978-3-319-18223-0
- Edition Number
- 1
- Number of Pages
- XII, 376
- Number of Illustrations
- 110 b/w illustrations
- Topics