Publications of 2004

200419 publications

1. A New Concept for Separability Problems in Blind Source Separation

   Fabian J. Theis

   Neural ComputationDOI
   Topic: Component analysis and signal separation

2. Mobile decision support for transplantation patient data

   Andreas Krause, Dominik Hartl, Fabian Theis, Manfred Stangl, Klaus E Gerauer, Alexander T Mehlhorn

   International Journal of Medical InformaticsDOI
   Topic: Clinical and cohort data

3. Uniqueness of complex and multidimensional independent component analysis

   F.J. Theis

   Signal ProcessingDOI
   Topic: Component analysis and signal separation

4. Tree-dependent and topographic independent component analysis for fMRI analysis

   Oliver Lange, Anke Meyer-Base, Axel Wismueller, Monica Hurdal, DeWitt Sumners, Dorothee P. Auer

   SPIE ProceedingsConference paperDOI
   Topic: Component analysis and signal separation

5. A geometric algorithm for overcomplete linear ICA

   Fabian J. Theis, Elmar W. Lang, Carlos G. Puntonet

   NeurocomputingDOI
   Topic: Component analysis and signal separation

6. 3D Spatial Analysis of fMRI Data on a Word Perception Task

   Ingo R. Keck, Fabian J. Theis, Peter Gruber, Elmar W. Lang, Karsten Specht, Carlos G. Puntonet

   Lecture Notes in Computer ScienceBook chapterDOI
   Topic: Imaging

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

   Peter Gruber, Kurt Stadlthanner, Ana Maria Tomé, Ana R. Teixeira, Fabian J. Theis, Carlos G. Puntonet, Elmar W. Lang

   Lecture Notes in Computer ScienceBook chapterDOI
   Topic: Component analysis and signal separation

8. Blind Source Separation of Linear Mixtures with Singular Matrices

   Pando Georgiev, Fabian J. Theis

   Lecture Notes in Computer ScienceBook chapterDOI
   Topic: Component analysis and signal separation

9. Postnonlinear Overcomplete Blind Source Separation Using Sparse Sources

   Fabian J. Theis, Shun-ichi Amari

   Lecture Notes in Computer ScienceBook chapterDOI
   Topic: Component analysis and signal separation

10. Second-Order Blind Source Separation Based on Multi-dimensional Autocovariances

    Fabian J. Theis, Anke Meyer-Bäse, Elmar W. Lang

    Lecture Notes in Computer ScienceBook chapterDOI
    Topic: Component analysis and signal separation

11. Spatial ICA of fMRI data in time windows

    Juha Karvanen

    AIP Conference ProceedingsConference paperDOI
    Topic: Component analysis and signal separation

12. Blind source recovery: algorithm comparison and fusion

    Fabian J. Theis

    AIP Conference ProceedingsConference paperDOI
    Topic: Component analysis and signal separation

13. Blind source separation and sparse component analysis of overcomplete mixtures

    F. Georgiev, F. Theis, A. Cichocki

    2004 IEEE International Conference on Acoustics, Speech, and Signal ProcessingConference paperDOI
    Topic: Component analysis and signal separation

14. Clustering of dependent components: a new paradigm for fMRI signal detection

    A. Meyer-Base, F. Theis, O. Lange, A. Wismuller

    2004 IEEE International Joint Conference on Neural Networks (IEEE Cat. No.04CH37541)Conference paperDOI
    Topic: Imaging

15. Kernel-PCA denoising of artifact-free protein NMR spectra

    K. Stadlthanner, E.W. Lang, P. Gruber, F.J. Theis, A.M. Tome, A.R. Teixeira, C.G. Puntonet

    2004 IEEE International Joint Conference on Neural Networks (IEEE Cat. No.04CH37541)Conference paperOpen accessDOI
    Topic: Component analysis and signal separation

16. Denoising using local ICA and kernel-PCA

    P. Gruber, F.J. Theis, K. Stadlthanner, E.W. Lang, A.M. Tome, A.R. Teixeira

    2004 IEEE International Joint Conference on Neural Networks (IEEE Cat. No.04CH37541)Conference paperDOI
    Topic: Component analysis and signal separation

17. Postnonlinear blind source separation via linearization identification

    F.J. Theis, E.W. Lang

    2004 IEEE International Joint Conference on Neural Networks (IEEE Cat. No.04CH37541)Conference paperDOI
    Topic: Component analysis and signal separation

18. 3D spatial analysis of fMRI data: a comparison of ICA and GLM analysis on a word perception task

    I.R. Keck, F.J. Theis, P. Gruber, E.W. Lang, K. Specht, C.G. Puntonet

    2004 IEEE International Joint Conference on Neural Networks (IEEE Cat. No.04CH37541)Conference paperDOI
    Topic: Imaging

19. Blind Sensor Characteristics Estimation in a Multi-Sensor Network Applied to fMRI Analysis

    Fabian J. Theis

    Proceedings of the 2004 Intelligent Sensors, Sensor Networks and Information Processing Conference, 2004.Conference paperDOI
    Topic: Component analysis and signal separation