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Publication List - SHINICHI NAKAJIMA (18 entries)
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Journal Paper
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Nakajima, S.,
Sugiyama, M.,
& Babacan, D..
Variational Bayesian sparse additive matrix factorization,
Machine Learning,
vol. 92,
no. 2-3,
pp. 319-347,
2013.
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Nakajima, S.,
Sugiyama, M.,
Babacan, D.,
&Tomioka, R..
Global analytic solution of fully-observed variational Bayesian matrix factorization,
Journal of Machine Learning Research,
vol. 14(Jan.),
pp. 1-37,
2013.
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Nakajima, S.,
Sugiyama, M..
Theoretical analysis of Bayesian matrix factorization,
Journal of Machine Learnig Research,
vol. 12,
pp. 2583-2648,
2011.
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SHINICHI NAKAJIMA,
SUMIO WATANABE.
Variational Bayes Solution of Linear Neural Networks and its Generalization Performance,
Neural Computation,
Vol. 19,
No. 4,
pp. 1112-1153,
2007.
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高松 慎吾,
SHINICHI NAKAJIMA,
SUMIO WATANABE.
局所化ベイズ学習法,
電子情報通信学会論文誌,
Vol. J89-D-II,
No. 10,
pp. 2260-2268,
Dec. 2006.
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SHINICHI NAKAJIMA,
SUMIO WATANABE.
Generalization Performance of Subspace Bayes Approach in Linear Neural Networks,
IEICE Transactions,
Vol. E89-D,
No. 3,
pp. 1128-1138,
Feb. 2006.
Book
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SUMIO WATANABE,
Taro Nagao,
YOSHIYUKI KABASHIMA,
TOSHIYUKI TANAKA,
SHINICHI NAKAJIMA.
ランダム行列の数理と科学,
森北出版,
Apr. 2014.
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元田浩,
栗田多喜夫,
樋口知之,
松本裕治,
村田昇,
Shotaro Akaho,
神嶌敏弘,
Masashi Sugiyama,
Takashi Onoda,
池田和司,
鹿島久嗣,
賀沢秀人,
SHINICHI NAKAJIMA,
Junichi Takeuchi,
持橋大地,
小山聡,
井手剛,
Koichi Shinoda,
山川宏.
パターン認識と機械学習(下)ベイズ理論による統計的予測,
パターン認識と機械学習・ベイズ理論による統計的予測,
丸善出版,
page 433,
July 2008.
International Conference (Reviewed)
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SHINICHI NAKAJIMA,
SUMIO WATANABE.
Generalization Error of Automatic Relevance Determination,
Proc. of ICANN,
pp. 1-10,
2007.
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Shingo Takamatsu,
SHINICHI NAKAJIMA,
SUMIO WATANABE.
Localized Bayes Estimation for Non-identifiable Models,
Proc. of International Conference on Neural Information Processing,
pp. 650-659,
Oct. 2006.
-
SHINICHI NAKAJIMA,
SUMIO WATANABE.
Analytic Solution of Hierarchical Variational Bayes in Linear Inverse Problem,
Proc. of International Conference on Artificial Neural Networks,
pp. 240-249,
Sept. 2006.
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SHINICHI NAKAJIMA,
SUMIO WATANABE.
Generalization Error and Free Energy of Linear Neural Networks in Variational Bayes Approach,
Proc. of ICONIP2005,
2005.
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SHINICHI NAKAJIMA,
SUMIO WATANABE.
Generalization Error of Linear Neural Networks in an Empirical Bayes Approach,
Proc. of IJCAI2005,
2005.
International Conference (Not reviewed / Unknown)
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Nakajima, S.,
Sugiyama, M.,
Babacan, D..
Sparse additive matrix factorizationfor robust PCA and its generalization.,
The Forth Asian Conference on Machine Learning (ACML2012),
JMLR Workshop and Conference Proceedings,
S.C.H.Hoi,W.Buntine(Eds.),
vol. 25,
pp. 301-316,
2012.
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Nakajima, S.,
Tomioka, R.,
Sugiyama, M.,
Babacan, D..
Perfect dimensionality recovery by variational Bayesian PCA.,
Neural Information Processing Systems(NIPS2012),
Advances in Neural Information Processing Systems 25,
P.Bartlett,F.C.N.Pereira,X.J.C.Burges,L.Bottou,K.Q.Weinberger(Eds.),
pp. 980-988,
2012.
Domestic Conference (Not reviewed / Unknown)
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Nakajima, S.,
Tomioka, R.,
Sugiyama, M.,
& Babacan, D..
On dimensionality recovery guarantee of variational Bayesian PCA.,
IBIS2012-66,
pp. 229-236,
2013.
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Nakajima, S.,
Sugiyama, M.,
& Babacan, D..
Foreground/background video separation by segmentaion-based generalized matrix factorization,
Meeting on Image Recognition and Understanting 2012,
Aug. 2012.
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