Infinite positive semidefinite tensor factorization for source separation of mixture signals

30th International Conference on Machine Learning, ICML 2013

Volumn , Issue PART 2, 2013, Pages 1613-1621

  Yoshii, Kazuyoshi ^a   Tomioka, Ryota ^b   Mochihashi, Daichi ^c   Goto, Masataka ^a  

^a NATIONAL INSTITUTE OF ADVANCED INDUSTRIAL SCIENCE AND TECHNOLOGY AIST   (Japan)

^b UNIVERSITY OF TOKYO   (Japan)

^c Institute of Mathematical Statistics   (Japan)

Author keywords

[No Author keywords available]

Indexed keywords

BAYESIAN NETWORKS; FACTORIZATION; INFERENCE ENGINES; LEARNING ALGORITHMS; LEARNING SYSTEMS; TENSORS;

CONVEX COMBINATIONS; MULTIPLICATIVE UPDATES; NON-PARAMETRIC BAYESIAN MODELING; NONNEGATIVE MATRIX FACTORIZATION; POSITIVE SEMIDEFINITE MATRICES; POSITIVE SEMIDEFINITE TENSORS; TENSOR FACTORIZATION; VARIATIONAL BAYESIAN;

MATRIX ALGEBRA;

EID: 84897542726     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

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