Kurt Stadlthanner

发表

Denoising using local projective subspace methods

Fabian J. Theis, Juan Manuel Górriz, Peter Gruber, 2006, Neurocomputing.

A Hybridization of Simulated Annealing and Local PCA for Automatic Component Assignment Within ICA

Fabian J. Theis, Kurt Stadlthanner, Matthias Böhm, 2005, IWANN.

Nonlinear projective techniques to extract artifacts in biomedical signals

Kurt Stadlthanner, Elmar Wolfgang Lang, Ana Maria Tomé, 2006, 2006 14th European Signal Processing Conference.

Extended Sparse Nonnegative Matrix Factorization

Fabian J. Theis, Kurt Stadlthanner, Elmar Wolfgang Lang, 2005, IWANN.

dAMUSE - A new tool for denoising and blind source separation

Rute Almeida, Kurt Stadlthanner, Elmar Wolfgang Lang, 2005, Digit. Signal Process..

Hybridizing Sparse Component Analysis with Genetic Algorithms for Blind Source Separation

Fabian J. Theis, Juan Manuel Górriz, Kurt Stadlthanner, 2005, ISBMDA.

Denoising Using Local ICA and a Generalized Eigendecomposition with Time-Delayed Signals

Fabian J. Theis, Peter Gruber, Kurt Stadlthanner, 2004, ICA.

A Generalized Eigendecomposition Approach Using Matrix Pencils to Remove Artefacts from 2D NMR Spectra

Fabian J. Theis, Kurt Stadlthanner, Elmar Wolfgang Lang, 2003, IWANN.

First results on uniqueness of sparse non-negative matrix factorization

Toshihisa Tanaka, Fabian J. Theis, Kurt Stadlthanner, 2005, 2005 13th European Signal Processing Conference.

AutoAssign - An Automatic Assignment Tool for Independent Components

Fabian J. Theis, Peter Gruber, Kurt Stadlthanner, 2005, IbPRIA.

Sparse Nonnegative Matrix Factorization with Genetic Algorithms for Microarray Analysis

Fabian J. Theis, Dominik Lutter, Kurt Stadlthanner, 2007, 2007 International Joint Conference on Neural Networks.

KPCA denoising and the pre-image problem revisited

Kurt Stadlthanner, Elmar Wolfgang Lang, Ana Maria Tomé, 2008, Digit. Signal Process..

Removing water artefacts from 2D protein NMR spectra using GEVD with congruent matrix pencils

Fabian J. Theis, Kurt Stadlthanner, Elmar Wolfgang Lang, 2003, Seventh International Symposium on Signal Processing and Its Applications, 2003. Proceedings..

Independent Component Analysis Applied to Voice Activity Detection

Juan Manuel Górriz, Javier Ramírez, Kurt Stadlthanner, 2006, International Conference on Computational Science.

Hybridizing sparse component analysis with genetic algorithms for microarray analysis

Fabian J. Theis, Juan Manuel Górriz, Kurt Stadlthanner, 2008, Neurocomputing.

Sparse Nonnegative Matrix Factorization Applied to Microarray Data Sets

Fabian J. Theis, Pedro Gómez Vilda, Kurt Stadlthanner, 2006, ICA.

Separation of water artifacts in 2D NOESY protein spectra using congruent matrix pencils

Fabian J. Theis, Kurt Stadlthanner, Elmar Wolfgang Lang, 2006, Neurocomputing.

Delayed AMUSE - A Tool for Blind Source Separation and Denoising

Kurt Stadlthanner, Elmar Wolfgang Lang, Ana Maria Tomé, 2004, ICA.

On the use of simulated annealing to automatically assign decorrelated components in second-order blind source separation

Fabian J. Theis, Peter Gruber, Kurt Stadlthanner, 2006, IEEE Transactions on Biomedical Engineering.

Blind Matrix Decomposition Via Genetic Optimization of Sparseness and Nonnegativity Constraints

Fabian J. Theis, Kurt Stadlthanner, Elmar Wolfgang Lang, 2007, ICANN.

Adaptive Beat-to-Beat Heart Rate Estimation in Ballistocardiograms

Steffen Leonhardt, Kurt Stadlthanner, Christoph Brüser, 2011, IEEE Transactions on Information Technology in Biomedicine.

Combining Multiple Methods to Improve Beat-to-Beat Interval Length Estimations in Ballistocardiograms

Steffen Leonhardt, Kurt Stadlthanner, Christoph Brüser, 2012 .