Graph based representations in pattern recognition : 4th IAPR international workshop, GbRPR 2003, York, UK, June 30-July 2, 2003 : proceedings

This volume contains the papers presented at the Fourth IAPR Workshop on Graph Based Representations in Pattern Recognition. The workshop was held at the King s Manor in York, England between 30 June and 2nd July 2003. The previous workshops in the series were held in Lyon, France (1997), Haindorf,...

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Bibliografiske detaljer
Institution som forfatter: IAPR workshop on Graph Based Representations in Pattern Recognition :York, Grande-Bretagne
Andre forfattere: Hancock, Edwin R., 1956- (Directeur de la publication), Vento, Mario, 1960- (Directeur de la publication)
Format: Livre numérique
Sprog:Anglais
Udgivet: Berlin [etc.] : Springer [20..].
Cham : Springer Nature
Serier:Lecture notes in computer science 2726
Fag:
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Edition sous un autre format:• Graph based representations in pattern recognition, 4th IAPR international workshop, GbRPR 2003, York, UK, June 30-July 2, 2003, proceedings, Edwin Hancock, Mario Vento (eds.), 2003, Berlin, Springer, 1 vol. (VIII-270 p.), Lecture notes in computer science, 3-540-40452-X
• Graph Based Representations in Pattern Recognition, Texte imprimé, 9783662204719
Indholdsfortegnelse:
  • Data Structures and Representation
  • Construction of Combinatorial Pyramids
  • On Graphs with Unique Node Labels
  • Constructing Stochastic Pyramids by MIDES Maximal Independent Directed Edge Set
  • Segmentation
  • Functional Modeling of Structured Images
  • Building of Symbolic Hierarchical Graphs for Feature Extraction
  • Comparison and Convergence of Two Topological Models for 3D Image Segmentation
  • Graph Edit Distance
  • 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
  • Graph Matching
  • Orthonormal Kernel Kronecker Product Graph Mdatching
  • 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
  • Matrix Methods
  • Graph Matching Using Spectral Seriation and String Edit Distance
  • Graph Polynomials, Principal Pivoting, and Maximum Independent Sets
  • Graph Partition for Matching
  • Graph Clustering
  • 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.