Overview
- Includes supplementary material: sn.pub/extras
Part of the book series: Lecture Notes in Computer Science (LNCS, volume 9069)
Part of the book sub series: Image Processing, Computer Vision, Pattern Recognition, and Graphics (LNIP)
Included in the following conference series:
Conference proceedings info: GbRPR 2015.
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Table of contents (36 papers)
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Graph Matching
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Graph Clustering and Classification
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Graph-Based Applications
Other volumes
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Graph-Based Representations in Pattern Recognition
Keywords
- Binary linear programming
- Clustering
- Coupled feature analysis
- Fast bipartite graph matching
- Feature selection
- Graph matching
- Graph theory
- Hashing
- Hierarchical representation
- Hypergraph
- Image segmentation
- Machine learning
- Quantum walks
- Saliency map
- Satellite image
- Sparse model
- Spatial affinity
- Structural pattern recognition
- Thermodynamics
- Time-varying networks
- data structures
About this book
Editors and Affiliations
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: Lecture Notes in Computer Science
DOI: https://doi.org/10.1007/978-3-319-18224-7
Publisher: Springer Cham
eBook Packages: Computer Science, Computer Science (R0)
Copyright Information: Springer International Publishing Switzerland 2015
Softcover ISBN: 978-3-319-18223-0Published: 16 April 2015
eBook ISBN: 978-3-319-18224-7Published: 04 May 2015
Series ISSN: 0302-9743
Series E-ISSN: 1611-3349
Edition Number: 1
Number of Pages: XII, 376
Number of Illustrations: 110 b/w illustrations
Topics: Pattern Recognition, Image Processing and Computer Vision, Computer Graphics, Discrete Mathematics in Computer Science, Data Structures, Algorithm Analysis and Problem Complexity