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Generalized principal component analysis / René Vidal, Yi Ma, S. Shankar Sastry
| Generalized principal component analysis / René Vidal, Yi Ma, S. Shankar Sastry |
| Autore | Vidal, René |
| Pubbl/distr/stampa | New York, : Springer, 2016 |
| Descrizione fisica | XXXII, 566 p. : ill. ; 24 cm |
| Altri autori (Persone) |
Ma, Yi
Sastry, S. Shankar |
| Soggetto topico |
14-XX - Algebraic geometry [MSC 2020]
15-XX - Linear and multilinear algebra; matrix theory [MSC 2020] 62B10 - Statistical aspects of information-theoretic topics [MSC 2020] 62H12 - Estimation in multivariate analysis [MSC 2020] 62-XX - Statistics [MSC 2020] 62J05 - Linear regression; mixed models [MSC 2020] 30C10 - Polynomials and rational functions of one complex variable [MSC 2020] 62H35 - Image analysis in multivariate analysis [MSC 2020] 62H25 - Factor analysis and principal components; correspondence analysis [MSC 2020] 62Jxx - Linear inference, regression [MSC 2020] 62J07 - Ridge regression; shrinkage estimators (Lasso) [MSC 2020] 62Fxx - Parametric inference [MSC 2020] 30C40 - Kernel functions in one complex variable and applications [MSC 2020] 14N20 - Configurations and arrangements of linear subspaces [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 |
| Formato | Materiale a stampa  |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Titolo uniforme | |
| Record Nr. | UNICAMPANIA-VAN0114796 |
Vidal, René
|
||
| New York, : Springer, 2016 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Vanvitelli | ||
| ||
Generalized principal component analysis / René Vidal, Yi Ma, S. Shankar Sastry
| Generalized principal component analysis / René Vidal, Yi Ma, S. Shankar Sastry |
| Autore | Vidal, René |
| Pubbl/distr/stampa | New York, : Springer, 2016 |
| Descrizione fisica | XXXII, 566 p. : ill. ; 24 cm |
| Altri autori (Persone) |
Ma, Yi
Sastry, S. Shankar |
| 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 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Titolo uniforme | |
| Record Nr. | UNICAMPANIA-VAN00114796 |
|
Vidal, René
|
||
| New York, : Springer, 2016 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Vanvitelli | ||
| ||