Description |
x, 265 pages : illustrations ; 24 cm |
Series |
Studies in computational intelligence ; v. 52 |
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Studies in computational intelligence ; v. 52
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Contents |
Machine derived contents note: Part I Applied Grah Theory for Low Level Image Processing -- and Segmentation -- Multiresolution Imae Segmentations in Graph Pyramids -- Walter G. Kropatsch, ll Haxhimusa and Adrian Ion 3 -- A Graphical Model F amework for Image Segmentation -- Rui Huang, Vladimir Pvlovic and Dimitris N. Metaxas 43 -- Digital Topologies on Graphs -- Alain Bretto 65 -- Part II Graph Similarity, Matching, and Learning for High Level -- Computer Vision and Pattern Recognition -- How and Why Pattern Recognition and Computer Vision Applications -- Use Graphs -- Donatello Conte, Pasqu le Foggia, Carlo Sansone and Mario Vento 85 -- Efficient Algorithms o Trees and Graphs with Unique Node Labels -- Gabriel Valiente 137 -- A Generic Graph Distnce Measure Based on Multivalent Matchings -- S6bastien Sorlin, Christi e Solnon and Jean-Michel Jolion 151 -- Learning from Supervi ed Graphs -- Joseph Potts, Diane J. C ok and Lawrence B. Holder 183 -- "I,1 -- Part III Special Applicati ns -- Graph-Based and Structu al Methods for Fingerprint Classification -- Gian Luca Marcialis, Fabio Roli and Alessandra Serrau 205 -- Graph Sequence Visualisation and its Application to Computer Network -- Monitoring and Abnormal Event Detection -- H. Bunke, P. Dickinson, A. Iumm, Ch. Irniger and M. Kraetzl 227 -- Clustering of Web Docume ts Using Graph Representations -- Adam Schenker, Horst Bunk, Mark Last and Abraham Kandel 247 |
Bibliography |
Includes bibliographical references |
Subject |
Computer vision -- Graphic methods.
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Graph theory.
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Pattern recognition systems -- Graphic methods.
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Author |
Bunke, Horst
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Kandel, Abraham.
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Last, Mark.
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LC no. |
2006939143 |
ISBN |
3540680195 (paperback) |
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9783540680192 (paperback) |
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