Publications of 2006

200616 publications

1. Robust Sparse Component Analysis Based on a Generalized Hough Transform

   Fabian J. Theis, Pando Georgiev, Andrzej Cichocki

   EURASIP Journal on Advances in Signal ProcessingOpen accessDOI
   Topic: Component analysis and signal separation

2. A Fast Predictive Lossless Coder for fMRI Data Sets

   Toshihisa Tanaka, Yumi Murakami, Fabian J. Theis

   2006 International Conference on Image ProcessingConference paperDOI
   Topic: Imaging

3. Denoising using local projective subspace methods

   P. Gruber, K. Stadlthanner, M. Böhm, F.J. Theis, …, J.M. Gorriz Saéz

   NeurocomputingOpen accessDOI
   Topic: Component analysis and signal separation

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

   M. Bohm, K. Stadlthanner, P. Gruber, F.J. Theis, …, H.R. Kalbitzer

   IEEE Transactions on Biomedical EngineeringOpen accessDOIPDF
   Topic: Component analysis and signal separation

5. Blind source separation based on self-organizing neural network

   Anke Meyer-Bäse, Peter Gruber, Fabian Theis, Simon Foo

   Engineering Applications of Artificial IntelligenceDOI
   Topic: Component analysis and signal separation

6. On the use of sparse signal decomposition in the analysis of multi-channel surface electromyograms

   Fabian J. Theis, Gonzalo A. García

   Signal ProcessingDOI
   Topic: Component analysis and signal separation

7. Median-based clustering for underdetermined blind signal processing

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

   IEEE Signal Processing LettersDOI
   Topic: Component analysis and signal separation

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

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

   NeurocomputingDOI
   Topic: Component analysis and signal separation

9. Optimization Algorithms for Sparse Representations and Applications

   Pando G. Georgiev, Fabian Theis, Andrzej Cichocki

   Nonconvex Optimization and Its ApplicationsBook chapterDOI
   Topic: Component analysis and signal separation

10. Uniqueness of Non-Gaussian Subspace Analysis

    Fabian J. Theis, Motoaki Kawanabe

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

11. Estimating Non-Gaussian Subspaces by Characteristic Functions

    Motoaki Kawanabe, Fabian J. Theis

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

12. Sparse Nonnegative Matrix Factorization Applied to Microarray Data Sets

    K. Stadlthanner, F. J. Theis, E. W. Lang, A. M. Tomé, C. G. Puntonet, P. Gómez Vilda, T. Langmann, G. Schmitz

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

13. Region of Interest Based Independent Component Analysis

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

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

14. Stability Analysis of an Unsupervised Competitive Neural Network

    A. Meyer-Baese, V. Thummler, F. Theis

    The 2006 IEEE International Joint Conference on Neural Network ProceedingsConference paperDOI
    Topic: Deep learning and generative models

15. On the use of joint diagonalization in blind signal processing

    F.J. Theis, Y. Inouye

    2006 IEEE International Symposium on Circuits and SystemsConference paperDOI
    Topic: Component analysis and signal separation

16. New Riemannian metrics for speeding-up the convergence of over- and underdetermined ICA

    S. Squartini, F. Piazza, F.J. Theis

    2006 IEEE International Symposium on Circuits and SystemsConference paperDOI
    Topic: Component analysis and signal separation