Publications of 2003

200314 publications

1. Linear Geometric ICA: Fundamentals and Algorithms

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

   Neural ComputationOpen accessDOI
   Topic: Component analysis and signal separation

2. An improved geometric overcomplete blind source separation algorithm

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

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

3. A Generalized Eigendecomposition Approach using Matrix Pencils to remove artefacts from 2D NMR Spectra

   K. Stadlthanner, A.M. Tomé, F.J. Theis, E.W. Lang

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

4. Generalizing Geometric ICA to Nonlinear Settings

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

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

5. An Adaptive Approach to Blind Source Separation Using a Self-Organzing Map and a Neural Gas

   Fabian J. Theis, Manuel R. Alvarez, Carlos G. Puntonet, Elmar W. Lang

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

6. New Geometric ICA Approach for Blind Source Separation

   M. Rodríguez-Álvarez, F. Rojas, C. G. Puntonet, F. Theis, E. Lang, R. M. Clemente

   Intelligent Systems Design and ApplicationsBook chapterDOI
   Topic: Component analysis and signal separation

7. Adaptive signal analysis of immunological data

   F.J. Theis, D. Hard, S. Krauss-Etschmann, C. Puntoner, E.W. Lang

   Sixth International Conference of Information Fusion, 2003. Proceedings of theConference paperDOI
   Topic: Immunity and inflammation

8. A new ica method based on a lattice of the observation space

   M.R. Alvarez, F. Rojas, C.G. Puntonet, F. Theis, E.W. Lang

   Sixth International Conference of Information Fusion, 2003. Proceedings of theConference paperDOI
   Topic: Component analysis and signal separation

9. SOMICA and geometric ICA

   F.J. Theis, C.G. Puntonet, E.W. Lang

   Sixth International Conference of Information Fusion, 2003. Proceedings of theConference paperDOI
   Topic: Component analysis and signal separation

10. Local features in biomedical image clusters extracted with independent component analysis

    C. Bauer, F.J. Theis, W. Baumler, E.W. Lang

    Proceedings of the International Joint Conference on Neural Networks, 2003.Conference paperDOI
    Topic: Component analysis and signal separation

11. SOMICA - an application of self-organizing maps to geometric independent component analysis

    F.J. Theis, C.G. Puntonet, E.W. Lang

    Proceedings of the International Joint Conference on Neural Networks, 2003.Conference paperDOI
    Topic: Component analysis and signal separation

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

    K. Stadlthanner, A.M. Tome, F.J. Theis, W. Gronwald, H.-R. Kalbitzer, E.W. Lang

    Seventh International Symposium on Signal Processing and Its Applications, 2003. Proceedings.Conference paperDOI
    Topic: Component analysis and signal separation

13. Neural network signal analysis in immunology

    F.J. Theis, D. Hartl, S. Krauss-Etschmann, E.W. Lang

    Seventh International Symposium on Signal Processing and Its Applications, 2003. Proceedings.Conference paperDOI
    Topic: Immunity and inflammation

14. Mathematics in independent component analysis

    F.J. Theis

    Seventh International Symposium on Signal Processing and Its Applications, 2003. Proceedings.Conference paperDOI
    Topic: Component analysis and signal separation