Aoulass, Nabila and Chakkor, Otman (2019) Non Negative Matrix Factorization for Blind Source Separation. In: Proceedings of the Third International Conference on Computing and Wireless Communication Systems, ICCWCS 2019, April 24-25, 2019, Faculty of Sciences, Ibn Tofaïl University -Kénitra- Morocco.
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Abstract
Non negative Matrix Factorization (NMF) has been a popular representation method for pattern classification problems. It tries to decompose a non negative matrix of data samples as the product of a non negative basis matrix and a non negative coefficient matrix in NMF both supervised and unsu
| Item Type: | Conference or Workshop Item (UNSPECIFIED) |
|---|---|
| Date Deposited: | 04 Mar 2026 12:07 |
| Last Modified: | 17 Apr 2026 14:29 |
| URI: | http://eprints.eai.eu/id/eprint/22915 |
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