Fraunhofer-Gesellschaft

Publica

Hier finden Sie wissenschaftliche Publikationen aus den Fraunhofer-Instituten.
2017On robust parameter estimation in brain–computer interfacing
Samek, W.; Nakajima, S.; Kawanabe, M.; Müller, K.-R.
Journal Article
2014Machine learning for visual concept recognition and ranking for images
Binder, A.; Samek, W.; Müller, K.-R.; Kawanabe, M.
Book Article
2013Enhanced representation and multi-task learning for image annotation
Binder, A.; Samek, W.; Müller, K.R.; Kawanabe, M.
Journal Article
2013Maschinelles Lernen, Mustererkennung in der Bildverarbeitung
Binder, Alexander; Meinecke, Frank C.; Bießmann, Felix; Kawanabe, Motoaki; Müller, Klaus-Robert
Book Article
2013Method and System for the automatic analysis of an image of a biological sample
Kawanabe, Motoaki; Binder, Alexander
Patent
2012Insights from classifying visual concepts with multiple kernel learning
Binder, A.; Nakajima, S.; Kloft, M.; Müller, C.; Samek, W.; Brefeld, U.; Müller, K.R.; Kawanabe, M.
Journal Article
2012On taxonomies for multi-class image categorization
Binder, A.; Müller, K.-R.; Kawanabe, M.
Journal Article
2012Stationary common spatial patterns for brain-computer interfacing
Samek, W.; Vidaurre, C.; Müller, K.-R.; Kawanabe, M.
Journal Article
2011Direct density-ratio estimation with dimensionality reduction via least-squares hetero-distributional subspace search
Sugiyama, M.; Yamada, M.; Bünau, P. von; Suzuki, T.; Kanamori, T.; Kawanabe, M.
Journal Article
2011Generalized TD learning
Ueno, T.; Maeda, S.-I.; Kawanabe, M.; Ishii, S.
Journal Article
2011A hybrid supervised-unsupervised vocabulary generation algorithm for visual concept recognition
Binder, A.; Wojcikiewicz, W.; Müller, C.; Kawanabe, M.
Conference Paper
2011Improving classification performance of BCIs by using stationary common spatial patterns and unsupervised bias adaptation
Wojcikiewicz, W.; Vidaurre, C.; Kawanabe, M.
Conference Paper
2011An information geometrical view of stationary subspace analysis
Kawanabe, M.; Samek, W.; Bünau, P. von; Meinecke, F.C.
Conference Paper
2011The joint submission of the TU Berlin and Fraunhofer FIRST (TUBFI) to the image CLEF 2011 photo annotation task
Binder, A.; Samek, W.; Kloft, M.; Müller, C.; Müller, K.-R.; Kawanabe, M.
Conference Paper
2011Modelling non-stationarities in EEG data with robust principal component analysis
Pascual, J.; Kawanabe, M.; Vidaurre, C.
Conference Paper
2011Multi-modal visual concept classification of images via Markov random walk over tags
Kawanabe, M.; Binder, A.; Müller, C.; Wojcikiewicz, W.
Conference Paper
2011Multi-task learning via non-sparse multiple kernel learning
Samek, W.; Binder, A.; Kawanabe, M.
Conference Paper
2011Stationary common spatial patterns: Towards robust classification of non-stationary EEG signals
Wojcikiewicz, W.; Vidaurre, C.; Kawanabe, M.
Conference Paper
2011Toward unsupervised adaptation of LDA for brain-computer interfaces
Vidaurre, C.; Kawanabe, M.; Bünau, P. von; Blankertz, B.; Müller, K.R.
Journal Article
2011Uniqueness of non-gaussianity-based dimension reduction
Theis, F.J.; Kawanabe, M.; Müller, K.-R.
Journal Article
2010Dimensionality reduction for density ratio estimation in high-dimensional spaces
Sugiyama, M.; Kawanabe, M.; Chui, P.L.
Journal Article
2010Direct density ratio estimation with dimensionality reduction
Sugiyama, M.; Hara, S.; Bünau, P. von; Suzuki, T.; Kanamori, T.; Kawanabe, M.
Conference Paper
2010Efficient classification of images with taxonomies
Binder, A.; Kawanabe, M.; Brefeld, U.
Conference Paper
2010Enhancing recognition of visual concepts with primitive color histograms via non-sparse multiple kernel learning
Binder, A.; Kawanabe, M.
Conference Paper
2010How to explain individual classification decisions
Baehrens, D.; Schroeter, T.; Harmeling, S.; Kawanabe, M.; Hansen, K.; Müller, K.-R.
Journal Article
2010Modeling sparse connectivity between underlying brain sources for EEG/MEG
Haufe, S.; Tomioka, R.; Nolte, G.; Müller, K.-R.; Kawanabe, M.
Journal Article
2010Shrinking large visual vocabularies using multi-label agglomerative information bottleneck
Wojcikiewicz, W.; Binder, A.; Kawanabe, M.
Conference Paper
2009Direct importance estimation with model selection and its application to covariate shift adaptation
Sugiyama, M.; Nakajima, S.; Kashima, H.; Bünau, P. von; Kawanabe, M.
Conference Paper
2009Heterogeneous component analysis
Oba, S.; Kawanabe, M.; Müller, K.R.; Ishii, S.
Conference Paper
2009Improving BCI performance by modified common spatial patterns with robustly averaged covariance matrices
Kawanabe, M.; Vidaurre, C.
Conference Paper
2009Invariant common spatial patterns: Alleviating nonstationarities in Brain-Computer Interfacing
Blankertz, B.; Kawanabe, M.; Tomioka, R.; Hohlefeld, F.U.; Nikulin, V.; Müller, K.-R.
Conference Paper
2009Learning invariances with stationary subspace analysis
Meinecke, F.C.; Bünau, P. von; Kawanabe, M.; Müller, K.-R.
Conference Paper
2009A maxmin approach to optimize spatial filters for EEG single-trial classification
Kawanabe, M.; Vidaurre, C.; Blankertz, B.; Müller, K.-R.
Conference Paper
2009Optimal online learning procedures for model-free policy evaluation
Ueno, T.; Maeda, S.-I.; Kawanabe, M.; Ishii, S.
Conference Paper
2009A procedure of adaptive kernel combination with kernel-target alignment for object classification
Kawanabe, M.; Nakajima, S.; Binder, A.
Conference Paper
2009Robust common spatial filters with a maxmin approach
Kawanabe, M.; Vidaurre, C.; Scholler, S.; Müller, K.R.
Journal Article, Conference Paper
2008Approximating the best linear unbiased estimator of non-Gaussian signals with Gaussian noise
Sugiyama, M.; Kawanabe, M.; Blanchard, G.; Müller, K.-R.
Journal Article
2008Asynchronous, adaptive BCI using movement imagination training and rest-state inference
Fazli, S.; Danóczy, M.; Kawanabe, M.; Popescu, F.
Conference Paper
2008Direct importance estimation for covariate shift adaptation
Sugiyama, M.; Suzuki, T.; Nakajima, S.; Kashima, H.; Bunau, P. von; Kawanabe, M.
Journal Article
2008Invariant Common Spatial Patterns: Alleviating Nonstationarities in Brain-Computer Interfacing
Blankertz, B.; Kawanabe, M.; Tomioka, R.; Hohlefeld, F.; Nikulin, V.; Müller, K.-R.
Book Article
2008Optimizing spatial filters for robust EEG single-trial analysis
Blankertz, B.; Tomioka, R.; Lemm, S.; Kawanabe, M.; Müller, K.-R.
Journal Article
2008A semiparametric statistical approach to model-free policy evaluation
Ueno, T.; Kawanabe, M.; Mori, T.; Maeda, S.-I.; Ishii, S.
Conference Paper
2008Unsupervised adaptation of the LDA classifier for Brain-Computer Interfaces
Vidaurre, C.; Schlögl, A.; Blankertz, B.; Kawanabe, M.; Müller, K.-R.
Conference Paper
2007Asymptotic Bayesian generalization error when training and test distributions are different
Yamazaki, K.; Kawanabe, M.; Watanabe, S.; Sugiyama, M.; Müller, K.-R.
Conference Paper
2007Colored subspace analysis
Theis, F.J.; Kawanabe, M.
Conference Paper
2007Heterogeneous component analysis
Oba, S.; Kawanabe, M.; Müller, K.-R.; Ishii, S.
Book Article
2007Joint low-rank approximation for extracting non-Gaussian subspaces
Kawanabe, M.; Theis, F.J.
Journal Article
2007A new algorithm of non-Gaussian component analysis with radial kernel functions
Kawanabe, M.; Sugiyama, M.; Blanchard, G.; Müller, K.-R.
Journal Article
2006A Bayesian approach for adaptive BCI classification
Kawanabe, M.; Krauledat, M.; Blankertz, B.
Conference Paper
2006Estimating non-Gaussian subspaces by characteristic functions
Kawanabe, M.; Theis, F.J.
Conference Paper
2006In search of non-Gaussian components of a high-dimensional distribution
Blanchard, G.; Kawanabe, M.; Sugiyama, M.; Spokoiny, V.; Müller, K.-R.
Journal Article
2006Non-Gaussian component analysis: A semi-parametric framework for linear dimension reduction
Blanchard, G.; Kawanabe, M.; Sugiyama, M.; Spokoiny, V.; Müller, K.-R.
Conference Paper
2006A novel dimension reduction procedure for searching non-Gaussian subspaces
Kawanabe, M.; Blanchard, G.; Sugiyama, M.; Spokoiny, V.; Müller, K.-R.
Conference Paper
2006Obtaining the best linear unbiased estimator of noisy signals by non-Gaussian component analysis
Sugiyama, M.; Kawanabe, M.; Blanchard, G.; Spokoiny, V.; Müller, K.-R.
Conference Paper
2006Uniqueness of non-Gaussian subspace analysis
Theis, F.J.; Kawanabe, M.
Conference Paper
2005Estimating functions for blind separation when sources have variance dependencies
Kawanabe, M.; Müller, K.-R.
Journal Article
2005Linear dimension reduction based on the fourth-order cumulant tensor
Kawanabe, M.
Conference Paper
2004Asymptotic properties of the fisher kernel
Tsuda, K.; Akaho, S.; Kawanabe, M.; Müller, K.R.
Journal Article
2004Blind separation of post-nonlinear mixtures using linearizing transformations and temporal decorrelation
Ziehe, A.; Kawanabe, M.; Harmeling, S.
Journal Article
2004Estimating functions for blind separation when sources have variance-dependencies
Kawanabe, M.; Müller, K.-R.
Conference Paper
2004Regularizing generalization error estimators: A novel approach to robust model selection
Sugiyama, M.; Kawanabe, M.; Müller, K.-R.
Conference Paper
2004Trading variance reduction with unbiasedness. The regularized subspace information criterion for robust model selection in kernel regression
Sugiyama, M.; Kawanabe, M.; Müller, K.R.
Journal Article
2003Blind separation of post-nonlinear mixtures using gaussianizing transformations and temporal decorrelation
Ziehe, A.; Kawanabe, M.; Harmeling, S.; Müller, K.-R.
Conference Paper
2003Clustering with the fisher score
Tsuda, K.; Kawanabe, M.; Müller, K.-R.
Conference Paper
2003Kernel-based nonlinear blind source separation
Harmeling, S.; Ziehe, A.; Kawanabe, M.; Mueller, K.R.
Journal Article
2003Optimal cluster preserving embedding of nonmetric proximity data
Roth, V.; Laub, J.; Kawanabe, M.; Buhmann, J.M.
Journal Article
2003Verfahren und Vorrichtung zum Entmischen post-nichtlinear gemischter Signale
Ziehe, A.; Harmeling, S.; Mueller, K.; Kawanabe, M.
Patent
2003Vorrichtung und Verfahren zur Quellentrennung
Ziehe, A.; Harmeling, S.; Mueller, K.; Kawanabe, M.
Patent
2002Estimating the reliability of ICA projections
Meinecke, F.; Ziehe, A.; Kawanabe, M.; Müller, K.-R.
Conference Paper
2002The leave-one-out kernel
Tsuda, K.; Kawanabe, M.
Conference Paper
2002A new discriminative kernel from probabilistic models
Tsuda, K.; Kawanabe, M.; Rätsch, G.; Sonnenburg, S.; Müller, K.-R.
Journal Article
2002On-line learning in changing environments with applications in supervised and unsupervised learning
Murata, N.; Kawanabe, M.; Ziehe, A.; Müller, K.-R.; Amari, S.
Journal Article
2002A resampling approach to estimate the stability of one-dimensional or multidimensional independent components
Meinecke, F.; Ziehe, A.; Kawanabe, M.; Müller, K.-R.
Journal Article
2001Assessing reliability of ICA projections - a resampling approach
Meinecke, F.; Ziehe, A.; Kawanabe, M.; Müller, K.-R.
Conference Paper
2001Separation of post-nonlinear mixtures using ACE and temporal decorrelation
Ziehe, A.; Kawanabe, M.; Harmeling, S.; Müller, K.-R.
Conference Paper