Sparse and shift-invariant feature extraction from non-negative data

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

Volumn , Issue , 2008, Pages 2069-2072

  Smaragdis, Paris ^a   Raj, Bhiksha ^b   Shashanka, Madhusudana ^c  

^a ADOBE RESEARCH   (United States)

^b MITSUBISHI ELECTRIC RESEARCH LABORATORIES   (United States)

^c MARS INC   (United States)

Author keywords

Feature extraction; Unsupervised learning

Indexed keywords

INTERNATIONAL CONFERENCES; SHIFT-INVARIANT; SIGNAL PROCESSING; UNSUPERVISED LEARNING;

FEATURE EXTRACTION;

EID: 51449100326     PISSN: 15206149     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICASSP.2008.4518048     Document Type: Conference Paper

References (6)

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3. Brand, M.E., "Structure Learning in Conditional Probability Models via an Eutropic Prior and Parameter Extinction", Neural Computation Journal, Vol. 11, No. 5, pp. 1155-1182, July 1999.
4. Shashanka, M.V.S., "Latent Variable Framework for Modeling and Separating Single Channel Acoustic Sources", Ph.D. Thesis, Department of Cognitive and Neural Systems. Boston University, Boston 2007.
5. Brown, J.C., "Calculation of a Constant Q Spectral Transform,", Journal of Acoustical Society of America, vol. 89(1), January 1991.
6. Lee, D.D., Seung, S.H., "Algorithms for Non-negative Matrix Factorization", Advances in Neural Information Processing Systems, Vol. 13 (2000), pp. 556-562.