On affine non-negative matrix factorization

ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings

Volumn 2, Issue , 2007, Pages

  Laurberg, Hans ^a   Hansen, Lars Kai ^b  

^a AALBORG UNIVERSITY   (Denmark)

^b TECHNICAL UNIVERSITY OF DENMARK   (Denmark)

Author keywords

BSS; NMF; Non negative matrix factorization; Sparse NMF

Indexed keywords

APPROXIMATION ALGORITHMS; FACTORIZATION; MATHEMATICAL MODELS; MATRIX ALGEBRA;

NON-NEGATIVE MATRIX FACTORIZATION; SPARSE NMF;

BLIND SOURCE SEPARATION;

EID: 34547533993     PISSN: 15206149     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICASSP.2007.366320     Document Type: Conference Paper

References (5)

1. D. D. Lee and H. S. Seung, "Learning the parts of objects by non-negative matrix factorization." Nature, vol. 401, no. 6755, pp. 788-791, October 1999.
2. D. D. Lee and S. H. Seung, "Algorithms for non-negative matrix factorization," in NIPS, 2000, pp. 556-562. [Online]. Available: http://citeseer.ist.psu.edu/lee01algorithms.html
3. P. O. Hoyer, "Non-negative sparse coding," Neural Networks for Signal Processing, 2002. Proceedings of the 2002 12th IEEE Workshop on, pp. 557-565, 2002.
4. J. Eggert and E. Körner, "Sparse coding and NMF," in 2004 IEEE International Joint Conference on Neural Networks, 2004, pp. 2529-2533.
5. D. Donoho and V. Stodden, "When does non-negative matrix factorization give a correct decomposition into parts?" in Advances in Neural Information Processing Systems 16, S. Thrun, L. Saul, and B. Scholkopf, Eds. Cambridge, MA: MIT Press, 2004.