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Applied Graph Theory in Computer Vision and Pattern Recognition 2007

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  dblp key:
  - series/sci/2007-52
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Abraham Kandel, Horst Bunke, Mark Last:
Applied Graph Theory in Computer Vision and Pattern Recognition. Studies in Computational Intelligence 52, Springer 2007, ISBN 978-3-540-68019-2
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  - series/sci/KropatschHI07
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Walter G. Kropatsch, Yll Haxhimusa, Adrian Ion:
Multiresolution Image Segmentations in Graph Pyramids. 3-41
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  - series/sci/HuangPM07
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Rui Huang, Vladimir Pavlovic, Dimitris N. Metaxas:
A Graphical Model Framework for Image Segmentation. 43-63
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  - series/sci/Bretto07
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Alain Bretto:
Digital Topologies on Graphs. 65-82
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  - series/sci/ConteFSV07
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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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  - series/sci/Valiente07
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Gabriel Valiente:
Efficient Algorithms on Trees and Graphs with Unique Node Labels. 137-149
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  - series/sci/SorlinSJ07
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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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  - series/sci/PottsCH07
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Joseph T. Potts, Diane J. Cook, Lawrence B. Holder:
Learning from Supervised Graphs. 183-201
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  - series/sci/MarcialisRS07
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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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  - series/sci/BunkeDHIK07
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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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  - series/sci/SchenkerBLK07
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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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