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Applied matrix and tensor variate data analysis / Toshio Sakata editor
| Applied matrix and tensor variate data analysis / Toshio Sakata editor |
| Pubbl/distr/stampa | [Tokyo], : Springer, 2016 |
| Descrizione fisica | XI, 136 p. : ill. ; 24 cm |
| Soggetto topico |
00B15 - Collections of articles of miscellaneous specific interest [MSC 2020]
62-XX - Statistics [MSC 2020] 62R07 - Statistical aspects of big data and data science [MSC 2020] 68T09 - Computational aspects of data analysis and big data [MSC 2020] |
| Soggetto non controllato |
Dictionary Learning
Generalized simultaneous low rank approximation Inference under array normal distributions Non-negative matrix factorization One-sided inference under array normal distributions Tensor PCA |
| Formato | Materiale a stampa  |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Titolo uniforme | |
| Record Nr. | UNICAMPANIA-VAN00114441 |
| [Tokyo], : Springer, 2016 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Vanvitelli | ||
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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 |
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 Blind Source Separation Block Coordinate Descent Methods Communication Complexity Computational Complexity Dictionary Learning Extended Formulations Feature Extraction Gene expression analysis Hyperspectral Imaging Identifiability Linear Dimensionality Reduction Low-rank Matrix Approximations Matrix Factorization Multiplicative Updates Non-linear optimization Nonnegative matrix factorization Principal Component Analysis Recommender systems Singular value decomposition Sparsity Topic modeling 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
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| Philadelphia, : SIAM, 2021 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Vanvitelli | ||
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