Nonnegative matrix factorization based on complex generative model
Author:
Affiliation:
1. Department of Electrical and Computer Engineering, National Institute of Technology, Kagawa College
Publisher
Acoustical Society of Japan
Subject
Acoustics and Ultrasonics
Link
https://www.jstage.jst.go.jp/article/ast/40/3/40_E193001/_pdf
Reference35 articles.
1. 1) D. D. Lee and H. S. Seung, ``Learning the parts of objects by non-negative matrix factorization,'' Nature, 401(6755), 788-791 (1999).
2. 2) D. D. Lee and H. S. Seung, ``Algorithms for non-negative matrix factorization,'' Proc. NIPS, pp. 556-562 (2000).
3. 3) C. Févotte, N. Bertin and J.-L. Durrieu, ``Nonnegative matrix factorization with the Itakura-Saito divergence. With application to music analysis,'' Neural Comput., 21, 793-830 (2009).
4. 4) M. Nakano, H. Kameoka, J. Le Roux, Y. Kitano, N. Ono and S. Sagayama, ``Convergence-guaranteed multiplicative algorithms for nonnegative matrix factorization with β-divergence,'' Proc. MLSP, pp. 283-288 (2010).
5. 5) C. Févotte and J. Idier, ``Algorithms for nonnegative matrix factorization with the β-divergence,'' Neural Comput., 23, 2421-2456 (2011).
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