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 Von Buenau, M Kawanabe
NIPS 7, 1433-1440, 2007
7352007
Semi-supervised local Fisher discriminant analysis for dimensionality reduction
M Sugiyama, T Idé, S Nakajima, J Sese
Machine learning 78 (1), 35-61, 2010
3242010
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
2932008
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
1252009
Bayesian group-sparse modeling and variational inference
SD Babacan, S Nakajima, MN Do
IEEE transactions on signal processing 62 (11), 2906-2921, 2014
1062014
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
772013
Pool-based active learning in approximate linear regression
M Sugiyama, S Nakajima
Machine Learning 75 (3), 249-274, 2009
752009
Theoretical analysis of Bayesian matrix factorization
S Nakajima, M Sugiyama
The Journal of Machine Learning Research 12, 2583-2648, 2011
512011
Nikon Multimedia Event Detection System.
T Matsuo, S Nakajima
TRECVID, 2010
412010
Perfect Dimensionality Recovery by Variational Bayesian PCA.
S Nakajima, R Tomioka, M Sugiyama, SD Babacan
NIPS, 980-988, 2012
322012
Variational Bayes solution of linear neural networks and its generalization performance
S Nakajima, S Watanabe
Neural Computation 19 (4), 1112-1153, 2007
312007
Towards best practice in explaining neural network decisions with LRP
M Kohlbrenner, A Bauer, S Nakajima, A Binder, W Samek, S Lapuschkin
2020 International Joint Conference on Neural Networks (IJCNN), 1-7, 2020
282020
On Bayesian PCA: Automatic dimensionality selection and analytic solution
S Nakajima, M Sugiyama, SD Babacan
ICML, 2011
282011
Implicit Regularization in Variational Bayesian Matrix Factorization.
S Nakajima, M Sugiyama
ICML, 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
242009
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
222017
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
222015
Global analytic solution for variational Bayesian matrix factorization
S Nakajima, M Sugiyama, R Tomioka
Advances in Neural Information Processing Systems 23, 1768-1776, 2010
202010
Variational Bayesian sparse additive matrix factorization
S Nakajima, M Sugiyama, SD Babacan
Machine learning 92 (2-3), 319-347, 2013
192013
Probabilistic Low-Rank Subspace Clustering.
SD Babacan, S Nakajima, MN Do
NIPS, 2753-2761, 2012
192012
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Articles 1–20