Shinichi Nakajima
Shinichi Nakajima
Machine Learning Group, Technische Universität Berlin
Verified email at tu-berlin.de - Homepage
Title
Cited by
Cited by
Year
Direct importance estimation with model selection and its application to covariate shift adaptation
M Sugiyama, S Nakajima, H Kashima, P Buenau, M Kawanabe
Advances in neural information processing systems 20, 1433-1440, 2007
6782007
Semi-supervised local Fisher discriminant analysis for dimensionality reduction
M Sugiyama, T Idé, S Nakajima, J Sese
Machine learning 78 (1-2), 35, 2010
3152010
Direct importance estimation for covariate shift adaptation
M Sugiyama, T Suzuki, S Nakajima, H Kashima, P von Bünau, ...
Annals of the Institute of Statistical Mathematics 60 (4), 699-746, 2008
2752008
Multi-class image segmentation using conditional random fields and global classification
N Plath, M Toussaint, S Nakajima
Proceedings of the 26th Annual International Conference on Machine Learning …, 2009
1112009
Bayesian group-sparse modeling and variational inference
SD Babacan, S Nakajima, MN Do
IEEE transactions on signal processing 62 (11), 2906-2921, 2014
1002014
Pool-based active learning in approximate linear regression
M Sugiyama, S Nakajima
Machine Learning 75 (3), 249-274, 2009
712009
Global analytic solution of fully-observed variational Bayesian matrix factorization
S Nakajima, M Sugiyama, SD Babacan, R Tomioka
Journal of Machine Learning Research 14 (Jan), 1-37, 2013
692013
Theoretical analysis of Bayesian matrix factorization
S Nakajima, M Sugiyama
The Journal of Machine Learning Research 12, 2583-2648, 2011
502011
Perfect dimensionality recovery by variational Bayesian PCA
S Nakajima, R Tomioka, M Sugiyama, S Babacan
Advances in Neural Information Processing Systems 25, 971-979, 2012
322012
Variational Bayes solution of linear neural networks and its generalization performance
S Nakajima, S Watanabe
Neural Computation 19 (4), 1112-1153, 2007
302007
On Bayesian PCA: Automatic Dimensionality Selection and Analytic Solution.
S Nakajima, M Sugiyama, SD Babacan
ICML, 497-504, 2011
272011
Implicit Regularization in Variational Bayesian Matrix Factorization.
S Nakajima, M Sugiyama
ICML, 815-822, 2010
262010
Multiple kernel learning for object classification
S Nakajima, A Binder, C Müller, W Wojcikiewicz, M Kloft, U Brefeld, ...
Proceedings of the 12th Workshop on Information-based Induction Sciences 24, 2009
232009
Variational Bayesian sparse additive matrix factorization
S Nakajima, M Sugiyama, SD Babacan
Machine learning 92 (2-3), 319-347, 2013
212013
An exhaustive search and stability of sparse estimation for feature selection problem
K Nagata, J Kitazono, S Nakajima, S Eifuku, R Tamura, M Okada
IPSJ Online Transactions 8, 25-32, 2015
202015
Support Vector Data Descriptions and-Means Clustering: One Class?
N Görnitz, LA Lima, KR Müller, M Kloft, S Nakajima
IEEE transactions on neural networks and learning systems 29 (9), 3994-4006, 2017
172017
Probabilistic low-rank subspace clustering
S Babacan, S Nakajima, M Do
Advances in Neural Information Processing Systems 25, 2744-2752, 2012
172012
Global analytic solution for variational Bayesian matrix factorization
S Nakajima, M Sugiyama, R Tomioka
Advances in Neural Information Processing Systems, 1768-1776, 2010
172010
Condition for perfect dimensionality recovery by variational Bayesian PCA
S Nakajima, R Tomioka, M Sugiyama, SD Babacan
The Journal of Machine Learning Research 16 (1), 3757-3811, 2015
162015
Porosity estimation by semi-supervised learning with sparsely available labeled samples
LA Lima, N Görnitz, LE Varella, M Vellasco, KR Müller, S Nakajima
Computers & Geosciences 106, 33-48, 2017
142017
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Articles 1–20