| Autore: |
Gillis, Nicolas
|
| Titolo: |
Nonnegative matrix factorization / Nicolas Gillis
|
| Pubblicazione: |
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 |
| Titolo autorizzato: |
Nonnegative matrix factorization |
|
| ISBN: |
978-16-11-97640-3 |
| Formato: |
Materiale a stampa  |
| Livello bibliografico |
Monografia |
| Lingua di pubblicazione: |
Inglese |
| Record Nr.: | VAN00265397 |
|
| Lo trovi qui: | Univ. Vanvitelli |
| Localizzazioni e accesso elettronico |
/sebina/repository/catalogazione/documenti/GILLIS.pdf |
| Opac: |
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