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Committee Date Time Place Paper Title / Authors Abstract Paper #
IBISML 2012-11-08
15:00		 Tokyo Bunkyo School Building, Tokyo Campus, Tsukuba Univ. On Dimensionality Recovery Guarantee of Variational Bayesian PCA
Shinichi Nakajima (Nikon), Ryota Tomioka (Univ. of Tokyo), Masashi Sugiyama (Tokyo Inst. of Tech.), Derin Babacan (Illinois Univ.) IBISML2012-66		 The variational Bayesian (VB) approach is
one of the best tractable approximations to the Bayesian estimation,
and it ... [more]		 IBISML2012-66
pp.229-236
IBISML 2011-11-09
15:45		 Nara Nara Womens Univ. Generalization of Matrix Factorization for Robust PCA
Shinichi Nakajima (Nikon), Masashi Sugiyama (Tokyo Inst. of Tech.), Derin Babacan (Illinois Univ.) IBISML2011-61		 Principal component analysis (PCA) can be regarded as approximating a
data matrix with
a low-rank one by imposing spar... [more]		 IBISML2011-61
pp.127-134
PRMU, IBISML, IPSJ-CVIM [detail] 2011-09-05
10:00		 Hokkaido   Global Solution of Variational Bayesian Matrix Factorization Under Matrix-wise Independence
Shinichi Nakajima (Nikon), Masashi Sugiyama (Tokyo Inst. of Tech.), Derin Babacan (Illinois Univ.) PRMU2011-58 IBISML2011-17		 Variational Bayesian matrix factorization (VBMF) efficiently
approximates the posterior distribution of factorized mat... [more]		 PRMU2011-58 IBISML2011-17
pp.1-8
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