論文

• Nakajima, S., Sugiyama, M., & Babacan, D.. Variational Bayesian sparse additive matrix factorization, Machine Learning, vol. 92, no. 2-3, pp. 319-347, 2013.
• 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.

国際会議発表 (査読なし・不明)

• 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.
• 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.

国内会議発表 (査読なし・不明)

• Nakajima, S., Tomioka, R., Sugiyama, M., & Babacan, D.. On dimensionality recovery guarantee of variational Bayesian PCA., IBIS2012-66, pp. 229-236, 2013.
• 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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