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Generalized Principal Component Analysis
This book provides a comprehensive introduction to the latest advances in the mathematical theory and computational tools for modeling high-dimensional data drawn from one or multiple low-dimensional subspaces (or manifolds) and potentially corrupted by noise, gross errors, or outliers. This challen...
| Cote: | Libro Electrónico |
|---|---|
| Auteurs principaux: | , , |
| Collectivité auteur: | |
| Format: | Électronique eBook |
| Langue: | Inglés |
| Publié: |
New York, NY :
Springer New York : Imprint: Springer,
2016.
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| Édition: | 1st ed. 2016. |
| Collection: | Interdisciplinary Applied Mathematics,
40 |
| Sujets: | |
| Accès en ligne: | Texto Completo |