Applied Graph Theory in Computer Vision and Pattern Recognition 2007
Abraham Kandel, Horst Bunke, Mark Last (Eds.): Applied Graph Theory in Computer Vision and Pattern Recognition. Springer 2007 Studies in Computational Intelligence ISBN 978-3-540-68019-2- 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
- 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
data released under the ODC-BY 1.0 license. See also our legal information page
last updated on 2013-06-19T203413 by the dblp team