Applied Graph Theory in Computer Vision and Pattern Recognition
Collection : Studies in Computational Intelligence 1860-949X . 52 Publié par : Springer-Verlag Berlin Heidelberg (Berlin, Heidelberg ) Détails physiques : TXT ISBN :9783540680208; 3540680209.
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Engineering.
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Engineering mathematics.
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Vision par ordinateur
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Méthodes graphiques.
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Reconnaissance des formes (Informatique)
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Méthodes graphiques.
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Théorie des graphes.
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Artificial intelligence.
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Engineering.
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Engineering mathematics.
| Type de document | Site actuel | Cote | Statut | Date de retour prévue | Code à barres | Réservations |
|---|---|---|---|---|---|---|
| Livre | La bibliothèque des sciences de l'ingénieur | 006.37015115 KAN (Parcourir l'étagère) | Disponible | 0000000025924 |
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Comprend des références bibliographiques.
Cover -- Contents -- Part I: Applied Graph Theory for Low Level Image Processing and Segmentation -- Multiresolution Image Segmentations in Graph Pyramids -- A Graphical Model Framework for Image Segmentation -- Digital Topologies on Graphs -- 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 -- Efficient Algorithms on Trees and Graphs with Unique Node Labels -- A Generic Graph Distance Measure Based on Multivalent Matchings -- Learning from Supervised Graphs -- Part III: Special Applications -- Graph-Based and Structural Methods for Fingerprint Classification -- Graph Sequence Visualisation and its Application to Computer Network Monitoring and Abnormal Event Detection -- Clustering of Web Documents Using Graph Representations -- Last Page.
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