PASCAL - Pattern Analysis, Statistical Modelling and Computational Learning

EPrints submitted by Klaus-Robert Müller

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Number of EPrints submitted by this user: 27

Approximate joint diagonalization using a natural-gradient approach
Arie Yeredor, Andreas Ziehe and Klaus-Robert Müller
Lecture Notes in Computer Science Volume LNCS 3195, pp. 89-96, 2004.

A Fast Algorithm for Joint Diagonalization with Non-orthogonal Transformations and its Application to Blind Source Separation
Andreas Ziehe, Guido Nolte, Pavel Laskov and Klaus-Robert Müller
JMLR Volume 5, pp. 777-800, 2004.

Feature Discovery in Non-Metric Pairwise Data
Julian Laub and Klaus-Robert Müller
JMLR Volume 5, pp. 801-818, 2004.

Blind Source Separation Techniques for Decomposing Evoked Brain Signals
Klaus-Robert Müller, Ricardo Vigario, Frank Meinecke and Andreas Ziehe
International Journal of Bifurcation and Chaos Volume 14, Number 2, pp. 773-791, 2004.

Asymptotic Properties of the Fisher Kernel
K Tsuda, S Akaho, M Kawanabe and Klaus-Robert Müller
Neural Computation Volume 16, Number 1, pp. 115-137, 2004.

Trading variance reduction with unbiasedness - the regularized subspace information criterion for robust model selection in kernel regression
Masashi Sugiyama, Motoaki Kawanabe and Klaus-Robert Müller
Neural Computation Volume 16, Number 5, pp. 1077-1104, 2004.

Injecting noise for analysing the stability of ICA components
Stefan Harmeling, Frank Meinecke and Klaus-Robert Müller
Signal Processing Volume 84, pp. 255-266, 2004.

Measuring Phase Synchronization of Superimposed Signals
F Meinecke, A Ziehe, J Kurths and Klaus-Robert Müller
Physics Review Letters Volume 94, 084102, 2005.

Estimating functions for blind source separation when sources have variance dependencies
M Kawanabe and KR Muller
JMLR Volume 6, pp. 453-482, 2005.

Inlier-Based ICA with an Application to Super-imposed Images
Frank Meinecke, Stefan Harmeling and Klaus-Robert Müller
International Journal of Imaging Systems and Technology Volume 15, Number 1, pp. 48-55, 2005.

Model Selection Under Covariate Shift
Masashi Sugiyama and Klaus-Robert Müller
(2005) LNCS , Volume 3697 . Springer , 15th International Conference, Warsaw, Poland, September 11-15 .

Generalization error estimation under covariate shift
Masashi Sugiyama and Klaus-Robert Müller
(2005) IBIS , Proceedings of Eighth Workshop on Information-Based Induction Sciences (IBIS2005), Tokyo, Japan, Nov. 9-11 , pp. 1077-1104.

Input-Dependent Estimation of Generalization Error under Covariate Shift
M Sugiyama and Klaus-Robert Müller
Statistics Decisions Volume 23, pp. 249-279, 2005.

Enhancing the Signal-to-Noise Ratio of ICA-Based Extracted ERPs
S Lemm, G Curio, Y Hlushuk and Klaus-Robert Müller
IEEE Transactions on Biomedical Engineering Volume 53, Number 4, pp. 601-607, 2006.

On the information and representation of non-euclidean pairwise data
J Laub, Volker Roth, Joachim Buhmann and Klaus-Robert Müller
Pattern Recognition Volume 39, pp. 1815-1826, 2006.

BCI Meeting 2005 - Workshop on BCI signal processing: Feature extraction and translation
D McFarland, CW Anderson, Klaus-Robert Müller, A Schloegl and DJ Krusienski
IEEE Transactions on Neural Systems and Rehabilitation Engineering Volume 14, Number 2, pp. 135-138, 2006.

Incremental Support Vector Learning: Analysis, Implementation and Applications
P Laskov, C Gehl, S Krueger and Klaus-Robert Müller
Journal of machine learning research Volume 7, pp. 1909-1936, 2006.

Pattern Recognition: Proceedings of DAGM 2006
K Franke, Klaus-Robert Müller, B Nickolay and R Schaefer, ed. (2006) Lecture Notes in Computer Science , Volume 4174 . Springer .

Efficient Algorithms for similarity measures over sequential data: a look beyond kernels
K Rieck, P Laskov and Klaus-Robert Müller
In: DAGM 2006, 11-14 Sep 2006, Berlin.

A regularized discriminative framework for EEG based communication
Ryota Tomioka and Klaus-Robert Müller
Neuroimage Volume 49, Number 1, pp. 415-432, 2010.

From machine learning to natural product derivatives selectively activating transcription factor PPAR$\gamma$
M Rupp, Timon Schröter, Klaus-Robert Müller and et al
ChemMedChem Volume 5, Number 2, pp. 191-194, 2010.

A Benchmark Data Set for In Silico Prediction of Ames Mutagenicity
Katja Hansen, Timon Schröter, Klaus-Robert Müller and et al
Journal of Chemical Information and Modeling Volume 49, Number 9, pp. 2077-2081, 2009.

A Generalized Framework for Quantifying the Dynamics of EEG Event-Related Desynchronization
Lemm Steven, Klaus-Robert Müller and G Curio
Plos Computational Biology Volume 5, Number 8, 2009.

Forschen an einer neuen Schnittstelle zum Gehirn: Das Berliner Brain-Computer Interface
Klaus-Robert Müller, Benjamin Blankertz, Michael Tangermann and Gabriel Curio
Nova Acta Leopoldina Volume 110, Number 377, pp. 235-257, 2011.

Charting Chemical Space: Challenges and Opportunities for AI and Machine Learning
Gisbert Schneider, Pierre Baldi and Klaus-Robert Müller
Molecular Informatics Volume 30, Number 9, 751, 2011.

Uniqueness of non-Gaussianity-based dimension reduction
Fabian Theis, Motoaki Kawanabe and Klaus-Robert Müller
IEEE Transactions on Signal Processing Volume 59, Number 9, pp. 4478-4482, 2011.

An Algebraic Method for Approximate Rank One Factorization of Rank Deficient Matrices
Franz Kiraly, Andreas Ziehe and Klaus-Robert Müller
In: LVA ICA 2012, 12-15 Mar 2012, Tel-Aviv, Israel.