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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 |
Audio Source Separation
Beta-Divergences Computational complexity Dictionary learning Feature Extraction Gene expression analysis Hyperspectral Imaging Matrix Factorization Non-linear optimization Nonnegative matrix factorization Principal component analysis Recommender systems Singular value decomposition Sparsity Topic modeling blind source separation block coordinate descent methods communication complexity extended formulations identifiability linear dimensionality reduction low-rank matrix approximations multiplicative updates nested polytope problem nonnegative rank self-modeling curve resolution separability |
| 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 | ||
| ||