Editors:
Part of the book series: Lecture Notes in Computer Science (LNCS, volume 5534)
Part of the book sub series: Image Processing, Computer Vision, Pattern Recognition, and Graphics (LNIP)
Conference series link(s): GbRPR: International Workshop on Graph-Based Representations in Pattern Recognition
Conference proceedings info: GbRPR 2009.
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Table of contents (37 papers)
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Graph Clustering and Classification
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Pyramids, Combinatorial Maps, and Homologies
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Graph-Based Segmentation
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Back Matter
About this book
This book constitutes the refereed proceedings of the 7th IAPR-TC-15 International Workshop on Graph-Based Representations in Pattern Recognition, GbRPR 2009, held in Venice, Italy in May 2009.
The 37 revised full papers presented were carefully reviewed and selected from 47 submissions. The papers are organized in topical sections on graph-based representation and recognition, graph matching, graph clustering and classification, pyramids, combinatorial maps, and homologies, as well as graph-based segmentation.
Editors and Affiliations
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“Ca’ Foscari” University of Venice, Italy
Andrea Torsello
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Department of Computer Science and Artificial Intelligence, Alicante University, Alicante, Spain
Francisco Escolano
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GREYC CNRS UMR 6072, Image Team, Université de Caen Basse-Normandie, Caen Cedex, France
Luc Brun
Bibliographic Information
Book Title: Graph-Based Representations in Pattern Recognition
Book Subtitle: 7th IAPR-TC-15 International Workshop, GbRPR 2009, Venice, Italy, May 26-28, 2009. Proceedings
Editors: Andrea Torsello, Francisco Escolano, Luc Brun
Series Title: Lecture Notes in Computer Science
DOI: https://doi.org/10.1007/978-3-642-02124-4
Publisher: Springer Berlin, Heidelberg
eBook Packages: Computer Science, Computer Science (R0)
Copyright Information: Springer-Verlag Berlin Heidelberg 2009
Softcover ISBN: 978-3-642-02123-7Published: 12 May 2009
eBook ISBN: 978-3-642-02124-4Published: 09 July 2009
Series ISSN: 0302-9743
Series E-ISSN: 1611-3349
Edition Number: 1
Number of Pages: X, 378
Topics: Pattern Recognition, Theory of Computation, Image Processing and Computer Vision, Computer Imaging, Vision, Pattern Recognition and Graphics, Computer Graphics, Discrete Mathematics in Computer Science