Graph Embedding for Pattern Analysis
Graph Embedding for Pattern Analysis covers theory methods, computation, and applications widely used in statistics, machine learning, image processing, and computer vision. This book presents the latest advances in graph embedding theories, such as nonlinear manifold graph, linearization method, gr...
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| Autor principal: | |
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| Outros Autores: | |
| Formato: | Livre numérique |
| Idioma: | Anglais |
| Publicado em: |
New York, NY :
Springer New York
2013.
Cham : Springer Nature |
| Acesso em linha: | Accès sur la plateforme de l'éditeur Accès sur la plateforme Istex Accès Université d'Orléans Accès INSA CVL |
| Nota: |
Archives Springer e-books (Licence nationale) Archives Springer e-books (Licence nationale) |
| Autres localisations: | Voir dans le Sudoc |
| Edition sous un autre format: | • Graph Embedding for Pattern Analysis, Texte imprimé, 9781461444565 • Graph Embedding for Pattern Analysis, Texte imprimé, 9781461444589 • Graph Embedding for Pattern Analysis, edited by Yun Fu, Yunqian Ma., 2013, New York, Springer, 1 vol. (VIII-260 p.), 978-1-4899-9062-4 |