Global solution of fully-observed Variational Bayesian matrix factorization is column-wise independent

Advances in Neural Information Processing Systems 24: 25th Annual Conference on Neural Information Processing Systems 2011, NIPS 2011

Volumn , Issue , 2011, Pages

  Nakajima, Shinichi ^a   Sugiyama, Masashi ^b   Babacan, Derin ^c  

^a NIKON CORPORATION   (Japan)

^b TOKYO INSTITUTE OF TECHNOLOGY   (Japan)

^c UNIVERSITY OF ILLINOIS AT URBANA CHAMPAIGN   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

ITERATIVE METHODS; MATRIX FACTORIZATION; PRINCIPAL COMPONENT ANALYSIS;

ANALYTIC SOLUTION; BAYESIAN MATRIX FACTORIZATIONS; GLOBAL OPTIMAL SOLUTIONS; GLOBAL SOLUTIONS; INDEPENDENCE ASSUMPTION; ITERATIVE ALGORITHM; MATRIX; POSTERIOR DISTRIBUTIONS; PROBABILISTIC PRINCIPAL COMPONENT ANALYSIS; VARIATIONAL BAYESIAN;

MATRIX ALGEBRA;

EID: 85162334181     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

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