Applied Graph Theory in Computer Vision and Pattern Recognition
This book will serve as a foundation for a variety of useful applications of graph theory to computer vision, pattern recognition, and related areas. It covers a representative set of novel graph-theoretic methods for complex computer vision and pattern recognition tasks. The first part of the book...
Kaydedildi:
| Yazar: | |
|---|---|
| Diğer Yazarlar: | , , |
| Materyal Türü: | Livre numérique |
| Dil: | Anglais |
| Baskı/Yayın Bilgisi: |
Berlin, Heidelberg :
Springer Berlin Heidelberg
[20..].
Cham : Springer Nature |
| Edisyon: | 1st ed. 2007. |
| Seri Bilgileri: | Studies in Computational Intelligence
52 |
| Online Erişim: | Accès sur la plateforme de l'éditeur Accès sur la plateforme Istex Accès Université d'Orléans Accès INSA CVL |
| Not: |
Archives Springer e-books (Licence nationale) Archives Springer e-books (Licence nationale) |
| Autres localisations: | Voir dans le Sudoc |
| Edition sous un autre format: | • Applied Graph Theory in Computer Vision and Pattern Recognition, Texte imprimé, 9783540680192 • Applied Graph Theory in Computer Vision and Pattern Recognition, Texte imprimé, 9783642087646 • Applied Graph Theory in Computer Vision and Pattern Recognition, Texte imprimé, 9783540833697 • Applied Graph Theory in Computer Vision and Pattern Recognition, Texte imprimé, 9783540680192 |