Publications of 2005

200510 publications

1. Sparse Component Analysis and Blind Source Separation of Underdetermined Mixtures

   P. Georgiev, F. Theis, A. Cichocki

   IEEE Transactions on Neural NetworksDOI
   Topic: Component analysis and signal separation

2. On model identifiability in analytic postnonlinear ICA

   F.J. Theis, P. Gruber

   NeurocomputingDOI
   Topic: Component analysis and signal separation

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

   M. Böhm, K. Stadlthanner, E. W. Lang, A. M. Tomé, A. R. Teixeira, F. J. Theis, C. G. Puntonet

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

4. Extended Sparse Nonnegative Matrix Factorization

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

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

5. Functional MRI Analysis by a Novel Spatiotemporal ICA Algorithm

   Fabian J. Theis, Peter Gruber, Ingo R. Keck, Elmar W. Lang

   Lecture Notes in Computer ScienceBook chapterDOI
   Topic: Imaging

6. A Fast and Efficient Method for Compressing fMRI Data Sets

   Fabian J. Theis, Toshihisa Tanaka

   Lecture Notes in Computer ScienceBook chapterDOI
   Topic: Imaging

7. Bispectrum-Based Statistical Tests for VAD

   J. M. Górriz, J. Ramírez, C. G. Puntonet, F. Theis, E. W. Lang

   Lecture Notes in Computer ScienceBook chapterDOI
   Topic: Statistical inference

8. Hybridizing Sparse Component Analysis with Genetic Algorithms for Blind Source Separation

   Kurt Stadlthanner, Fabian J. Theis, Carlos G. Puntonet, Juan M. Górriz, Ana Maria Tomé, Elmar W. Lang

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

9. An algorithm for automatic assignment of artifact-related independent components in biomedical signal analysis

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

   Proceedings. 2005 IEEE International Joint Conference on Neural Networks, 2005.Conference paperDOI
   Topic: Component analysis and signal separation

10. Blind signal separation into groups of dependent signals using joint block diagonalization

    F.J. Theis

    2005 IEEE International Symposium on Circuits and SystemsConference paperDOI
    Topic: Component analysis and signal separation