Motoaki Kawanabe
Motoaki Kawanabe
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Zitiert von
Zitiert von
Optimizing spatial filters for robust EEG single-trial analysis
B Blankertz, R Tomioka, S Lemm, M Kawanabe, KR Muller
IEEE Signal processing magazine 25 (1), 41-56, 2007
How to explain individual classification decisions
D Baehrens, T Schroeter, S Harmeling, M Kawanabe, K Hansen, ...
The Journal of Machine Learning Research 11, 1803-1831, 2010
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, 2007
Machine learning in non-stationary environments: Introduction to covariate shift adaptation
M Sugiyama, M Kawanabe
MIT press, 2012
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, 699-746, 2008
Toward unsupervised adaptation of LDA for brain–computer interfaces
C Vidaurre, M Kawanabe, P von Bünau, B Blankertz, KR Müller
IEEE Transactions on Biomedical Engineering 58 (3), 587-597, 2010
Invariant common spatial patterns: Alleviating nonstationarities in brain-computer interfacing
B Blankertz, M Kawanabe, R Tomioka, F Hohlefeld, K Müller, V Nikulin
Advances in neural information processing systems 20, 2007
Stationary common spatial patterns for brain–computer interfacing
W Samek, C Vidaurre, KR Müller, M Kawanabe
Journal of neural engineering 9 (2), 026013, 2012
Optimal cluster preserving embedding of nonmetric proximity data
V Roth, J Laub, M Kawanabe, JM Buhmann
IEEE Transactions on Pattern Analysis and Machine Intelligence 25 (12), 1540 …, 2003
A new discriminative kernel from probabilistic models
K Tsuda, M Kawanabe, G Rätsch, S Sonnenburg, KR Müller
Advances in Neural Information Processing Systems 14, 2001
Divergence-based framework for common spatial patterns algorithms
W Samek, M Kawanabe, KR Müller
IEEE Reviews in Biomedical Engineering 7, 50-72, 2013
Kernel-based nonlinear blind source separation
S Harmeling, A Ziehe, M Kawanabe, KR Müller
Neural Computation 15 (5), 1089-1124, 2003
A resampling approach to estimate the stability of one-dimensional or multidimensional independent components
F Meinecke, A Ziehe, M Kawanabe, KR Muller
IEEE transactions on biomedical engineering 49 (12), 1514-1525, 2002
Information geometry of estimating functions in semi-parametric statistical models
SI Amari, M Kawanabe
Modeling sparse connectivity between underlying brain sources for EEG/MEG
S Haufe, R Tomioka, G Nolte, KR Müller, M Kawanabe
IEEE transactions on biomedical engineering 57 (8), 1954-1963, 2010
Learning a common dictionary for subject-transfer decoding with resting calibration
H Morioka, A Kanemura, J Hirayama, M Shikauchi, T Ogawa, S Ikeda, ...
NeuroImage 111, 167-178, 2015
Blind separation of post-nonlinear mixtures using linearizing transformations and temporal decorrelation
A Ziehe, M Kawanabe, S Harmeling, KR Müller
The Journal of Machine Learning Research 4, 1319-1338, 2003
In Search of Non-Gaussian Components of a High-Dimensional Distribution.
G Blanchard, M Kawanabe, M Sugiyama, V Spokoiny, KR Müller, ...
Journal of Machine Learning Research 7 (2), 2006
Scanqa: 3d question answering for spatial scene understanding
D Azuma, T Miyanishi, S Kurita, M Kawanabe
proceedings of the IEEE/CVF conference on computer vision and pattern …, 2022
On-line learning in changing environments with applications in supervised and unsupervised learning
N Murata, M Kawanabe, A Ziehe, KR Müller, S Amari
Neural Networks 15 (4-6), 743-760, 2002
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