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
  
• Rui Huang, Vladimir Pavlovic, Dimitris N. Metaxas:
  A Graphical Model Framework for Image Segmentation. 43-63
  
• Alain Bretto:
  Digital Topologies on Graphs. 65-82
  
• Donatello Conte, Pasquale Foggia, Carlo Sansone, Mario Vento:
  How and Why Pattern Recognition and Computer Vision Applications Use Graphs. 85-135
  
• Gabriel Valiente:
  Efficient Algorithms on Trees and Graphs with Unique Node Labels. 137-149
  
• Sébastien Sorlin, Christine Solnon, Jean-Michel Jolion:
  A Generic Graph Distance Measure Based on Multivalent Matchings. 151-181
  
• Joseph T. Potts, Diane J. Cook, Lawrence B. Holder:
  Learning from Supervised Graphs. 183-201
  
• Gian Luca Marcialis, Fabio Roli, Alessandra Serrau:
  Graph-Based and Structural Methods for Fingerprint Classification. 205-226
  
• 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
  
• Adam Schenker, Horst Bunke, Mark Last, Abraham Kandel:
  Clustering of Web Documents Using Graph Representations. 247-265