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Graph Based Representations in Pattern Recognition 4th IAPR International Workshop, GbRPR 2003, York, UK, June/July 2003 - Proceedings

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ISBN-10: 354040452X

ISBN-13: 9783540404521

Edition: 2003

Authors: Edwin Hancock, Mario Vento, International Association for Pattern Recognition Staff

List price: $99.00
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Description:

This book constitutes the refereed proceedings of the 4th IAPR International Workshop on Graph-Based Representation in Pattern Recognition, GbRPR 2003, held in York, UK in June/July 2003. The 23 revised full papers presented were carefully reviewed and selected for inclusion in the book. The papers are organized in topical sections on data structures and representation, segmentation, graph edit distance, graph matching, matrix methods, and graph clustering.
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Book details

List price: $99.00
Copyright year: 2003
Publisher: Springer
Publication date: 6/18/2003
Binding: Paperback
Pages: 276
Size: 6.00" wide x 9.75" long x 0.75" tall
Weight: 0.946
Language: English

Construction of Combinatorial Pyramids
On Graphs with Unique Node Labels
Constructing Stochastic Pyramids by MIDES - Maximal Independent Directed Edge Set
Functional Modeling of Structure Images
Building of Symbolic Hierarchical Graphs for Feature Extraction
Comparison and Convergence of Two Topological Models for 3D Image Segmentation
Tree Edit Distance from Information Theory
Self-Organizing Graph Edit Distance
Graph Edit Distance with Node Splitting and Merging, and Its Application to Diatom Identification
Orthonormal Kernel Kronecker Product Graph Matching
Theoretical Analysis and Experimental Comparison of Graph Matching Algorithms for Database Filtering
A Comparison of Three Maximum Common Subgraph Algorithms on a Large Database of Labeled Graphs
Swap Strategies for Graph Matching
Graph Matching Using Spectral Seriation and String Edit Distance
Graph Polynomials, Principal Pivoting, and Maximum Independent Sets
Graph Partition for Matching
Spectral Clustering of Graphs
Comparison of Distance Measures for Graph-Based Clustering of Documents
Some Experiments on Clustering a Set of Strings
A New Median Graph Algorithm
Graph Clustering Using the Weighted Minimum Common Supergraph
ACM Attributed Graph Clustering for Learning Classes of Images
A Competitive Winner-Takes-All Architecture for Classification and Pattern Recognition of Structures
Author Index