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Nonnegative matrix factorization / Nicolas Gillis
| Nonnegative matrix factorization / Nicolas Gillis |
| Autore | Gillis, Nicolas |
| Pubbl/distr/stampa | Philadelphia, : SIAM, 2021 |
| Descrizione fisica | xix, 350 p. : ill. ; 26 cm |
| Soggetto topico |
68-XX - Computer science [MSC 2020]
15B48 - Positive matrices and their generalizations; cones of matrices [MSC 2020] 15-XX - Linear and multilinear algebra; matrix theory [MSC 2020] 68T10 - Pattern recognition, speech recognition [MSC 2020] 15A23 - Factorization of matrices [MSC 2020] 68T09 - Computational aspects of data analysis and big data [MSC 2020] 65F55 - Numerical methods for low-rank matrix approximation; matrix compression [MSC 2020] |
| Soggetto non controllato |
Computational complexity
Dictionary learning Gene expression analysis Hyperspectral Imaging Matrix Factorization Non-linear optimization Nonnegative matrix factorization Principal component analysis Recommender systems Singular value decomposition Sparsity audio source separation beta-divergences blind source separation block coordinate descent methods communication complexity extended formulations feature extraction identifiability linear dimensionality reduction low-rank matrix approximations multiplicative updates nested polytope problem nonnegative rank self-modeling curve resolution separability topic modeling |
| ISBN | 978-16-11-97640-3 |
| Formato | Materiale a stampa  |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNICAMPANIA-VAN0265397 |
Gillis, Nicolas
|
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| Philadelphia, : SIAM, 2021 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Vanvitelli | ||
| ||
Nonnegative matrix factorization / Nicolas Gillis
| Nonnegative matrix factorization / Nicolas Gillis |
| Autore | Gillis, Nicolas |
| Pubbl/distr/stampa | Philadelphia, : SIAM, 2021 |
| Descrizione fisica | xix, 350 p. : ill. ; 26 cm |
| Soggetto topico |
15-XX - Linear and multilinear algebra; matrix theory [MSC 2020]
15A23 - Factorization of matrices [MSC 2020] 15B48 - Positive matrices and their generalizations; cones of matrices [MSC 2020] 65F55 - Numerical methods for low-rank matrix approximation; matrix compression [MSC 2020] 68-XX - Computer science [MSC 2020] 68T09 - Computational aspects of data analysis and big data [MSC 2020] 68T10 - Pattern recognition, speech recognition [MSC 2020] |
| Soggetto non controllato |
Computational complexity
Dictionary learning Gene expression analysis Hyperspectral Imaging Matrix Factorization Non-linear optimization Nonnegative matrix factorization Principal component analysis Recommender systems Singular value decomposition Sparsity audio source separation beta-divergences blind source separation block coordinate descent methods communication complexity extended formulations feature extraction identifiability linear dimensionality reduction low-rank matrix approximations multiplicative updates nested polytope problem nonnegative rank self-modeling curve resolution separability topic modeling |
| ISBN | 978-16-11-97640-3 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNICAMPANIA-VAN00265397 |
|
Gillis, Nicolas
|
||
| Philadelphia, : SIAM, 2021 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Vanvitelli | ||
| ||