| Autore: |
Vidal, René
|
| Titolo: |
Generalized principal component analysis / René Vidal, Yi Ma, S. Shankar Sastry
|
| Pubblicazione: |
New York, : Springer, 2016 |
| Titolo uniforme: |
Generalized principal component analysis
|
| Descrizione fisica: |
XXXII, 566 p. : ill. ; 24 cm |
| Soggetto topico: |
14-XX - Algebraic geometry [MSC 2020] |
| |
14N20 - Configurations and arrangements of linear subspaces [MSC 2020] |
| |
15-XX - Linear and multilinear algebra; matrix theory [MSC 2020] |
| |
30C10 - Polynomials and rational functions of one complex variable [MSC 2020] |
| |
30C40 - Kernel functions in one complex variable and applications [MSC 2020] |
| |
62-XX - Statistics [MSC 2020] |
| |
62B10 - Statistical aspects of information-theoretic topics [MSC 2020] |
| |
62Fxx - Parametric inference [MSC 2020] |
| |
62H12 - Estimation in multivariate analysis [MSC 2020] |
| |
62H25 - Factor analysis and principal components; correspondence analysis [MSC 2020] |
| |
62H35 - Image analysis in multivariate analysis [MSC 2020] |
| |
62J05 - Linear regression; mixed models [MSC 2020] |
| |
62J07 - Ridge regression; shrinkage estimators (Lasso) [MSC 2020] |
| |
62Jxx - Linear inference, regression [MSC 2020] |
| Soggetto non controllato: |
Hybrid system identification |
| |
Image and video segmentation |
| |
Linear subspace models |
| |
Low-rank matrix theory |
| |
Manifold learning |
| |
Principal component analysis |
| |
Robust principal component analysis |
| |
Sparse representation theory |
| |
Spectral clustering |
| |
Subspace arrangements |
| |
Subspace clustering |
| Altri autori: |
Ma, Yi
Sastry, S. Shankar
|
| Titolo autorizzato: |
Generalized principal component analysis |
|
| Formato: |
Materiale a stampa  |
| Livello bibliografico |
Monografia |
| Lingua di pubblicazione: |
Inglese |
| Record Nr.: | VAN00114796 |
|
| Lo trovi qui: | Univ. Vanvitelli |
| Localizzazioni e accesso elettronico |
http://dx.doi.org/10.1007/978-0-387-87811-9 |
| Opac: |
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