Search results for "Motoaki Kawanabe"

Hits ?▲	Authors	Title	Venue	Year	Link	Author keywords
1	Tsuyoshi Ueno, Shin-ichi Maeda, Motoaki Kawanabe, Shin Ishii	Generalized TD Learning.	Journal of Machine Learning Research	2011	DBLP BibTeX RDF
1	Fabian J. Theis, Motoaki Kawanabe, Klaus-Robert Müller	Uniqueness of Non-Gaussianity-Based Dimension Reduction.	IEEE Transactions on Signal Processing	2011	DBLP DOI BibTeX RDF
1	Masashi Sugiyama, Makoto Yamada, Paul von Bünau, Taiji Suzuki, Takafumi Kanamori, Motoaki Kawanabe	Direct density-ratio estimation with dimensionality reduction via least-squares hetero-distributional subspace search.	Neural Networks	2011	DBLP DOI BibTeX RDF
1	Alexander Binder, Shinichi Nakajima, Marius Kloft, Christina Müller, Wojciech Samek, Ulf Brefeld, Klaus-Robert Müller, Motoaki Kawanabe	Insights from Classifying Visual Concepts with Multiple Kernel Learning	CoRR	2011	DBLP BibTeX RDF
1	Wojciech Wojcikiewicz, Carmen Vidaurre, Motoaki Kawanabe	Stationary Common Spatial Patterns: Towards robust classification of non-stationary EEG signals.	ICASSP	2011	DBLP DOI BibTeX RDF
1	Wojciech Samek, Alexander Binder, Motoaki Kawanabe	Multi-task Learning via Non-sparse Multiple Kernel Learning.	CAIP	2011	DBLP DOI BibTeX RDF
1	Motoaki Kawanabe, Alexander Binder, Christina Müller, Wojciech Wojcikiewicz	Multi-modal visual concept classification of images via Markov random walk over tags.	WACV	2011	DBLP DOI BibTeX RDF
1	Wojciech Wojcikiewicz, Carmen Vidaurre, Motoaki Kawanabe	Improving Classification Performance of BCIs by Using Stationary Common Spatial Patterns and Unsupervised Bias Adaptation.	HAIS	2011	DBLP DOI BibTeX RDF
1	Javier Pascual, Motoaki Kawanabe, Carmen Vidaurre	Modelling Non-stationarities in EEG Data with Robust Principal Component Analysis.	HAIS	2011	DBLP DOI BibTeX RDF
1	Motoaki Kawanabe, Wojciech Samek, Paul von Bünau, Frank C. Meinecke	An Information Geometrical View of Stationary Subspace Analysis.	ICANN	2011	DBLP DOI BibTeX RDF
1	Alexander Binder, Wojciech Samek, Marius Kloft, Christina Müller, Klaus-Robert Müller, Motoaki Kawanabe	The Joint Submission of the TU Berlin and Fraunhofer FIRST (TUBFI) to the ImageCLEF2011 Photo Annotation Task.	CLEF (Notebook Papers/Labs/Workshop)	2011	DBLP BibTeX RDF
1	David Baehrens, Timon Schroeter, Stefan Harmeling, Motoaki Kawanabe, Katja Hansen, Klaus-Robert Müller	How to Explain Individual Classification Decisions.	Journal of Machine Learning Research	2010	DBLP BibTeX RDF
1	Masashi Sugiyama, Motoaki Kawanabe, Pui Ling Chui	Dimensionality reduction for density ratio estimation in high-dimensional spaces.	Neural Networks	2010	DBLP DOI BibTeX RDF
1	Alexander Binder, Wojciech Wojcikiewicz, Christina Müller, Motoaki Kawanabe	A Hybrid Supervised-Unsupervised Vocabulary Generation Algorithm for Visual Concept Recognition.	ACCV	2010	DBLP DOI BibTeX RDF
1	Masashi Sugiyama, Satoshi Hara, Paul von Bünau, Taiji Suzuki, Takafumi Kanamori, Motoaki Kawanabe	Direct Density Ratio Estimation with Dimensionality Reduction.	SDM	2010	DBLP BibTeX RDF
1	Wojciech Wojcikiewicz, Alexander Binder, Motoaki Kawanabe	Enhancing Image Classification with Class-wise Clustered Vocabularies.	ICPR	2010	DBLP DOI BibTeX RDF
1	Wojciech Wojcikiewicz, Alexander Binder, Motoaki Kawanabe	Shrinking large visual vocabularies using multi-label agglomerative information bottleneck.	ICIP	2010	DBLP DOI BibTeX RDF
1	David Baehrens, Timon Schroeter, Stefan Harmeling, Motoaki Kawanabe, Katja Hansen, Klaus-Robert Müller	How to Explain Individual Classification Decisions	CoRR	2009	DBLP BibTeX RDF
1	Tsuyoshi Ueno, Shin-ichi Maeda, Motoaki Kawanabe, Shin Ishii	Optimal Online Learning Procedures for Model-Free Policy Evaluation.	ECML/PKDD	2009	DBLP DOI BibTeX RDF
1	Alexander Binder, Motoaki Kawanabe, Ulf Brefeld	Efficient Classification of Images with Taxonomies.	ACCV	2009	DBLP DOI BibTeX RDF
1	Alexander Binder, Motoaki Kawanabe	Enhancing Recognition of Visual Concepts with Primitive Color Histograms via Non-sparse Multiple Kernel Learning.	CLEF	2009	DBLP DOI BibTeX RDF
1	Motoaki Kawanabe, Shinichi Nakajima, Alexander Binder	A procedure of adaptive kernel combination with kernel-target alignment for object classification.	CIVR	2009	DBLP DOI BibTeX RDF	kernel-target alignment, object classification, multiple kernel learning
1	Motoaki Kawanabe, Carmen Vidaurre, Benjamin Blankertz, Klaus-Robert Müller	A Maxmin Approach to Optimize Spatial Filters for EEG Single-Trial Classification.	IWANN	2009	DBLP DOI BibTeX RDF
1	Masashi Sugiyama, Motoaki Kawanabe, Gilles Blanchard, Klaus-Robert Müller	Approximating the Best Linear Unbiased Estimator of Non-Gaussian Signals with Gaussian Noise.	IEICE Transactions	2008	DBLP DOI BibTeX RDF
1	Tsuyoshi Ueno, Motoaki Kawanabe, Takeshi Mori, Shin-ichi Maeda, Shin Ishii	A semiparametric statistical approach to model-free policy evaluation.	ICML	2008	DBLP DOI BibTeX RDF
1	Motoaki Kawanabe, Fabian J. Theis	Joint low-rank approximation for extracting non-Gaussian subspaces.	Signal Processing	2007	DBLP DOI BibTeX RDF
1	Fabian J. Theis, Motoaki Kawanabe	Colored Subspace Analysis.	ICA	2007	DBLP DOI BibTeX RDF
1	Keisuke Yamazaki, Motoaki Kawanabe, Sumio Watanabe, Masashi Sugiyama, Klaus-Robert Müller	Asymptotic Bayesian generalization error when training and test distributions are different.	ICML	2007	DBLP DOI BibTeX RDF
1	Benjamin Blankertz, Motoaki Kawanabe, Ryota Tomioka, Friederike Hohlefeld, Vadim V. Nikulin, Klaus-Robert Müller	Invariant Common Spatial Patterns: Alleviating Nonstationarities in Brain-Computer Interfacing.	NIPS	2007	DBLP BibTeX RDF
1	Shigeyuki Oba, Motoaki Kawanabe, Klaus-Robert Müller, Shin Ishii	Heterogeneous Component Analysis.	NIPS	2007	DBLP BibTeX RDF
1	Masashi Sugiyama, Shinichi Nakajima, Hisashi Kashima, Paul von Bünau, Motoaki Kawanabe	Direct Importance Estimation with Model Selection and Its Application to Covariate Shift Adaptation.	NIPS	2007	DBLP BibTeX RDF
1	Gilles Blanchard, Motoaki Kawanabe, Masashi Sugiyama, Vladimir Spokoiny, Klaus-Robert Müller	In Search of Non-Gaussian Components of a High-Dimensional Distribution.	Journal of Machine Learning Research	2006	DBLP BibTeX RDF
1	Fabian J. Theis, Motoaki Kawanabe	Uniqueness of Non-Gaussian Subspace Analysis.	ICA	2006	DBLP DOI BibTeX RDF
1	Motoaki Kawanabe, Fabian J. Theis	Estimating Non-Gaussian Subspaces by Characteristic Functions.	ICA	2006	DBLP DOI BibTeX RDF
1	Motoaki Kawanabe, Gilles Blanchard, Masashi Sugiyama, Vladimir Spokoiny, Klaus-Robert Müller	A Novel Dimension Reduction Procedure for Searching Non-Gaussian Subspaces.	ICA	2006	DBLP DOI BibTeX RDF
1	Motoaki Kawanabe, Klaus-Robert Müller	Estimating Functions for Blind Separation When Sources Have Variance Dependencies.	Journal of Machine Learning Research	2005	DBLP BibTeX RDF
1	Motoaki Kawanabe	Linear Dimension Reduction Based on the Fourth-Order Cumulant Tensor.	ICANN	2005	DBLP DOI BibTeX RDF
1	Gilles Blanchard, Masashi Sugiyama, Motoaki Kawanabe, Vladimir Spokoiny, Klaus-Robert Müller	Non-Gaussian Component Analysis: a Semi-parametric Framework for Linear Dimension Reduction.	NIPS	2005	DBLP BibTeX RDF
1	Masashi Sugiyama, Motoaki Kawanabe, Klaus-Robert Müller	Trading Variance Reduction with Unbiasedness: The Regularized Subspace Information Criterion for Robust Model Selection in Kernel Regression.	Neural Computation	2004	DBLP DOI BibTeX RDF
1	Koji Tsuda, Shotaro Akaho, Motoaki Kawanabe, Klaus-Robert Müller	Asymptotic Properties of the Fisher Kernel.	Neural Computation	2004	DBLP DOI BibTeX RDF
1	Motoaki Kawanabe, Klaus-Robert Müller	Estimating Functions for Blind Separation when Sources Have Variance-Dependencies.	ICA	2004	DBLP DOI BibTeX RDF
1	Masashi Sugiyama, Motoaki Kawanabe, Klaus-Robert Müller	Regularizing generalization error estimators: a novel approach to robust model selection.	ESANN	2004	DBLP BibTeX RDF
1	Volker Roth, Julian Laub, Motoaki Kawanabe, Joachim M. Buhmann	Optimal Cluster Preserving Embedding of Nonmetric Proximity Data.	IEEE Trans. Pattern Anal. Mach. Intell.	2003	DBLP DOI BibTeX RDF	pairwise proximity data, Clustering, embedding, cost function, MDS
1	Andreas Ziehe, Motoaki Kawanabe, Stefan Harmeling, Klaus-Robert Müller	Blind Separation of Post-nonlinear Mixtures using Linearizing Transformations and Temporal Decorrelation.	Journal of Machine Learning Research	2003	DBLP BibTeX RDF
1	Stefan Harmeling, Andreas Ziehe, Motoaki Kawanabe, Klaus-Robert Müller	Kernel-Based Nonlinear Blind Source Separation.	Neural Computation	2003	DBLP DOI BibTeX RDF
1	Noboru Murata, Motoaki Kawanabe, Andreas Ziehe, Klaus-Robert Müller, Shun-ichi Amari	On-line learning in changing environments with applications in supervised and unsupervised learning.	Neural Networks	2002	DBLP DOI BibTeX RDF
1	Koji Tsuda, Motoaki Kawanabe, Gunnar Rätsch, Sören Sonnenburg, Klaus-Robert Müller	A New Discriminative Kernel from Probabilistic Models.	Neural Computation	2002	DBLP DOI BibTeX RDF
1	Koji Tsuda, Motoaki Kawanabe	The Leave-One-Out Kernel.	ICANN	2002	DBLP DOI BibTeX RDF
1	Koji Tsuda, Motoaki Kawanabe, Klaus-Robert Müller	Clustering with the Fisher Score.	NIPS	2002	DBLP BibTeX RDF
1	Stefan Harmeling, Alexander Ziehe, Motoaki Kawanabe, Klaus-Robert Müller	Kernel Feature Spaces and Nonlinear Blind Souce Separation.	NIPS	2001	DBLP BibTeX RDF
1	Koji Tsuda, Motoaki Kawanabe, Gunnar Rätsch, Sören Sonnenburg, Klaus-Robert Müller	A New Discriminative Kernel From Probabilistic Models.	NIPS	2001	DBLP BibTeX RDF
1	Frank C. Meinecke, Andreas Ziehe, Motoaki Kawanabe, Klaus-Robert Müller	Estimating the Reliability of ICA Projections.	NIPS	2001	DBLP BibTeX RDF
1	Motoaki Kawanabe, Shun-ichi Amari	Estimation of Network Parameters in Semiparametric Stochastic Perceptron.	Neural Computation	1994	DBLP DOI BibTeX RDF

Publications of "Motoaki Kawanabe" ( http://dblp.L3S.de/Authors/Motoaki_Kawanabe )