Applied Graph Theory in Computer Vision and Pattern Recognition 2007

• Walter G. Kropatsch, Yll Haxhimusa, Adrian Ion:
  Multiresolution Image Segmentations in Graph Pyramids. 3-41
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• Rui Huang, Vladimir Pavlovic, Dimitris N. Metaxas:
  A Graphical Model Framework for Image Segmentation. 43-63
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• Alain Bretto:
  Digital Topologies on Graphs. 65-82
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• Donatello Conte, Pasquale Foggia, Carlo Sansone, Mario Vento:
  How and Why Pattern Recognition and Computer Vision Applications Use Graphs. 85-135
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• Gabriel Valiente:
  Efficient Algorithms on Trees and Graphs with Unique Node Labels. 137-149
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• Sébastien Sorlin, Christine Solnon, Jean-Michel Jolion:
  A Generic Graph Distance Measure Based on Multivalent Matchings. 151-181
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• Joseph T. Potts, Diane J. Cook, Lawrence B. Holder:
  Learning from Supervised Graphs. 183-201
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• Gian Luca Marcialis, Fabio Roli, Alessandra Serrau:
  Graph-Based and Structural Methods for Fingerprint Classification. 205-226
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• Horst Bunke, Peter J. Dickinson, Andreas Humm, Christophe Irniger, Miro Kraetzl:
  Graph Sequence Visualisation and its Application to Computer Network Monitoring and Abnormal Event Detection. 227-245
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• Adam Schenker, Horst Bunke, Mark Last, Abraham Kandel:
  Clustering of Web Documents Using Graph Representations. 247-265
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