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Bayesian non-negative matrix factorization with adaptive sparsity and smoothness prior
- 1.0500888 - ÚTIA 2020 RIV US eng J - Journal Article
Tichý, Ondřej - Bódiová, Lenka - Šmídl, Václav
Bayesian non-negative matrix factorization with adaptive sparsity and smoothness prior.
IEEE Signal Processing Letters. Roč. 26, č. 3 (2019), s. 510-514. ISSN 1070-9908. E-ISSN 1558-2361
R&D Projects: GA ČR GA18-07247S
Institutional support: RVO:67985556
Keywords : Non-negative matrix factorization * Covariance matrix model * Blind source separation * Variational Bayes method * Dynamic renal scintigraphy
OECD category: Automation and control systems
Impact factor: 3.105, year: 2019
Method of publishing: Limited access
http://library.utia.cas.cz/separaty/2019/AS/tichy-0500888.pdf https://ieeexplore.ieee.org/document/8633424
Permanent Link: http://hdl.handle.net/11104/0293325
Number of the records: 1