Probabilistic factorization of non-negative data with entropic co-occurrence constraints

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

Volumn 5441, Issue , 2009, Pages 330-337

  Smaragdis, Paris ^a   Shashanka, Madhusudana ^b   Raj, Bhiksha ^c   Mysore, Gautham J ^d  

^a ADOBE RESEARCH   (United States)

^b MARS INC   (United States)

^c MITSUBISHI ELECTRIC RESEARCH LABORATORIES   (United States)

^d STANFORD UNIVERSITY   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

CO-OCCURRENCE; CROSS ENTROPY; FACTORIZATION ALGORITHMS; LOW RANK; NON-NEGATIVE FACTORIZATION; PROBABILISTIC ALGORITHM;

FACTORIZATION; HEMODYNAMICS;

INDEPENDENT COMPONENT ANALYSIS;

EID: 67149144202     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-642-00599-2_42     Document Type: Conference Paper

References (6)

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3. Singh, A.P., Gordon, G.J.: A Unified View of Matrix Factorization Models. In: ECML/PKDD 2008 (to appear, 2008)
4. Shashanka, M., Raj, B., Smaragdis, P.: Probabilistic Latent Variable Models as Non- negative Factorizations. Computational Intelligence and Neuroscience 2008 (2008)
5. Cardoso, J.-F.: Multidimensional independent component analysis. In: Proceedings of the International Workshop on Higher-Order Statistics (1998)
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