computational
modeling in biology

Font size »A . A+ . A++ .

Publications

  statistics  

  dynamical systems    disease models    regulatory networks  
  metabolomics    cellular decisions    image processing  

Key publications are highlighted.

* = joint first authors, # = joint last authors

Publications in press

2013

2012

2011

2010

2009

2008

2007

  • Robust sparse component analysis based on a generalized Hough transform.
    Theis FJ, Georgiev P, Cichocki A
    EURASIP Journal on Applied Signal Processing, 2007  [ PDF ]

  • Generalization of source separation to indepedent subspaces of unknown sizes - see uniqueness proof statistics
    Towards a general independent subspace analysis.
    Theis FJ
    in Proc. NIPS 2006, 2007  [ PDF ]

  • Joint low-rank approximation for extracting non-Gaussian subspaces.
    Kawanabe M, Theis FJ
    Signal Processing, 2007  [ PDF ]

  • Colored subspace analysis.
    Theis FJ, Kawanabe M
    in Proc. ICA 2007, 2007  [ PDF ]

  • Independent Subspace Analysis is unique, given irreducibility.
    Gutch H, Theis FJ
    in Proc. ICA 2007, 2007  [ PDF ]

  • Pivot selection strategies in Jacobi joint block-diagonalization.
    Févotte C, Theis FJ
    in Proc. ICA 2007, 2007  [ PDF ]

  • Blind Matrix Decomposition Techniques to Identify Marker Genes from Microarrays.
    Schachtner R, Lutter D, Theis FJ, Lang EW, Tomé AM, Saéz JMG, Puntonet CG
    in Proc. ICA 2007, 2007  [ PDF ]

  • A toolbox for model-free analysis of fMRI data.
    Gruber P, Kohler C, Theis FJ
    in Proc. ICA 2007, 2007  [ PDF ]

  • Identifiability conditions and subspace clustering in sparse BSS.
    Georgiev P, Theis FJ, Ralescu A
    in Proc. ICA 2007, 2007  [ PDF ]

  • statistics
    Statistical analysis of sample-size effects in ICA.
    Herrmann JM, Theis FJ
    in Intelligent Data Engineering and Automated Learning, 2007  [ PDF ]

  • Blind Matrix Decomposition Via Genetic Optimization of Sparseness and Nonnegativity Constraints.
    Stadlthanner K, Theis FJ, Lang EW, Tomé AM, Puntonet CG
    in Proc. ICANN 2007, 2007

  • How to extract marker genes from microarray data sets.
    Schachtner R, Lutter D, Theis FJ, Lang EW, Schmitz G, Tomé AM, Gomez-Vilda P
    in In Proc. Conf Proc IEEE Eng Med Biol Soc 2007, 2007  [ PubMed ]

  • Statistical machine learning of biomedical data.
    Theis FJ
    in Habilitation an der NWF II -Physik der Universit\"at Regensburg, 2007  [ PDF ]

2006

  • statistics
    On the use of simulated annealing to automatically assign independent components.
    Böhm M, Stadlthanner K, Gruber P, Theis FJ, Lang EW, Tomé AM, Teixeira AR, Gronwald W, Kalbitzer HR
    IEEE Transactions on Biomedical Engineering, 53(5):810-820, 2006  [ PDF | PubMed ]

  • A k-means type algorithm for clustering subspaces in vector spaces, with some nice closed-form update rules. statistics
    Grassmann clustering.
    Gruber P, Theis FJ
    in Proc. EUSIPCO 2006, 2006  [ PDF ]

  • statistics
    Stability Analysis of an Unsupervised Competitive Neural Network.
    Meyer-Baese A, Thümmler V, Theis FJ
    in Proc. IJCNN 2006, 2006

  • statistics
    Sparseness by iterative projections onto spheres.
    Theis FJ, Tanaka T
    in Proc. ICASSP 2006, 2006  [ PDF ]

  • statistics
    New Riemannian metrics for speeding-up the convergence of over- and underdetermined ICA.
    Squartini S, Piazza F, Theis FJ
    in Proc. ISCAS 2006, 2006  [ PDF ]

  • statistics
    On the use of joint diagonalization in blind signal processing.
    Theis FJ, Inouye Y
    in Proc. ISCAS 2006, 2006  [ PDF ]

  • statistics
    Sparse nonnegative matrix factorization applied to microarray data sets.
    Stadlthanner K, Theis FJ, Lang EW, Puntonet C, Gomez-Vilda P, Tomé A, Langmann T, Schmitz G
    in Proc. ICA 2006, 2006

  • statistics
    Estimating non-gaussian subspaces by characteristic functions.
    Kawanabe M, Theis FJ
    in Proc. ICA 2006, 2006  [ PDF ]

  • statistics
    Denoising using local projective subspace methods.
    Gruber P, Stadlthanner K, Böhm M, Theis FJ, Lang EW, Tomé AM, Teixeira AR, Puntonet CG, Saéz JMG
    Neurocomputing, 2006  [ PDF ]

  • statistics
    Uniqueness of non-gaussian subspace analysis.
    Theis FJ, Kawanabe M
    in Proc. ICA 2006, 2006  [ PDF ]

  • statistics regulatory networks
    Analyzing gene expression profiles with ICA.
    Lutter D, Stadlthanner K, Theis FJ, Lang EW, Tomé AM, Becker B, Vogt T
    in Proc. BioMED 2006, 2006  [ PDF ]

  • statistics
    Blind Source Separation Based On Self-Organizing Neural Network.
    Meyer-Baese A, Gruber P, Theis FJ, Foo S
    Engineering Applications of Artificial Intelligence, 2006  [ PDF ]

  • Separation of water artifacts in 2D NOESY protein spectra using congruent matrix pencils.
    Stadlthanner K, Tomé AM, Theis FJ, Lang EW, Gronwald W, Kalbitzer HR
    Neurocomputing, 2006  [ PDF ]

  • statistics
    Median-based clustering for underdetermined blind signal processing.
    Theis FJ, Puntonet CG, Lang EW
    IEEE Signal Processing Letters, 13(2):96-99, 2006  [ PDF ]

  • Detailed comparison of sparse factorization methods in EMG data. statistics
    On the use of sparse signal decomposition in the analysis of multi-channel surface electromyograms.
    Theis FJ, García GA
    Signal Processing, 86(3):603-623, 2006  [ PDF ]

  • statistics
    A Bilinear Algorithm for Sparse Representations.
    Georgiev P, Pardalos P, Theis FJ
    Computational Optimization and Applications, 2006  [ PDF ]

  • Optimization algorithms for sparse representations and applications.
    Georgiev P, Theis FJ, Cichocki A
    in Multiscale Optimization Methods and Applications, 2006  [ PDF ]

  • Model-free Region Of Interest Based Analysis of fMRI Data.
    Keck IR, Theis FJ, Gruber P, Lang EW, Churan J, Puntonet CG
    in Proc. MELECON 2006, 2006  [ PDF ]

  • statistics
    Region of Interest Based Independent Component Analysis.
    Keck IR, Churan J, Theis FJ, Gruber P, Lang EW, Puntonet CG
    in Proc. ICONIP 2006, 2006  [ PDF ]

2005

  • How to identify more components in less mixtures using sparseness constraints. statistics
    Sparse Component Analysis and Blind Source Separation of Underdetermined Mixtures.
    Georgiev P, Theis FJ, Cichocki A
    IEEE Transactions on Neural Networks, 16(4):992-996, 2005  [ PDF | PubMed ]

  • Wer mit Lucene suchet, der findet.
    Theis FJ
    Java Magazin, 2005  [ PDF ]

  • Gradients on matrix manifolds and their chain rule.
    Theis FJ
    Neural Information Processing LR, 9(1):1-13, 2005  [ PDF ]

  • statistics
    Hybridizing Sparse Component Analysis with Genetic Algorithms for Blind Source Separation.
    Stadlthanner K, Theis FJ, Lang EW, Puntonet CG
    in Proc. ISBMDA 2005, 2005

  • statistics
    An algorithm for automatic assignment of artifact-related independent components in biomedical signal analysis.
    Böhm M, Stadlthanner K, Lang EW, Theis FJ, Gruber P, Tomé AM, Teixeira AR, Puntonet CG
    in Proc. IJCNN 2005, 2005

  • Bispectrum-Based Statistical Tests for VAD.
    Górriz JM, Ramírez J, Puntonet CG, Theis FJ, Lang EW
    in Proc. ICANN 2005, 2005

  • A Fast and Efficient Method for Compressing fMRI Data Sets.
    Theis FJ, Tanaka T
    in Proc. ICANN 2005, 2005  [ PDF ]

  • statistics
    Functional MRI analysis by a novel spatiotemporal ICA algorithm.
    Theis FJ, Gruber P, Keck IR, Lang EW
    in Proc. ICANN 2005, 2005  [ PDF ]

  • image processing
    Application of unsupervised clustering methods to biomedical image analysis.
    Meyer-Baese A, Gruber P, Theis FJ, Wismüller A, Ritter H
    in Proc. WSOM 2005, 2005  [ PDF ]

  • statistics
    Multidimensional independent component analysis using characteristic functions.
    Theis FJ
    in Proc. EUSIPCO 2005, 2005  [ PDF ]

  • image processing statistics
    Spatiotemporal blind source separation using double-sided approximate joint diagonalization.
    Theis FJ, Gruber P, Keck IR, Meyer-Baese A, Lang EW
    in Proc. EUSIPCO 2005, 2005  [ PDF ]

  • First results on uniqueness of sparse non-negative matrix factorization.
    Theis FJ, Stadlthanner K, Tanaka T
    in Proc. EUSIPCO 2005, 2005  [ PDF ]

  • A spatiotemporal second-order algorithm for fMRI data analysis.
    Theis FJ, Gruber P, Keck IR, Tomé AM, Lang EW
    in Proc. CIMED 2005, 2005  [ PDF ]

  • statistics
    Automated clustering of ICA results for fMRI data analysis.
    Keck IR, Theis FJ, Gruber P, Lang EW, Specht K, Fink G, Tomé AM, Puntonet CG
    in Proc. CIMED 2005, 2005  [ PDF ]

  • statistics
    AutoAssign - An automated assignment tool for independent components.
    Böhm M, Stadlthanner K, Tomé AM, Gruber P, Teixeira AR, Theis FJ, Puntonet CG, Lang EW
    in Proc. IbPRIA 2005, 2005

  • Extended sparse nonnegative matrix factorization.
    Stadlthanner K, Theis FJ, Puntonet CG, Lang EW
    in Proc. IWANN 2005, 2005  [ PDF ]

  • statistics
    A hybridization of simulated annealing and local PCA for automatic component assignment within ICA.
    Böhm M, Stadlthanner K, Lang EW, Tomé AM, Gruber P, Teixeira AR, Theis FJ, Puntonet CG
    in Proc. IWANN 2005, 2005

  • Blind signal separation into groups of dependent signals using joint block diagonalization.
    Theis FJ
    in Proc. ISCAS 2005, 2005  [ PDF ]

  • Sparse component analysis: a new tool for data mining.
    Georgiev P, Pardalos P, Theis FJ, Cichocki A, Bakardjian H
    in Data Mining in Biomedicine, 2005  [ PDF ]

  • Nonlinear version of the ICA uniqueness theorem based on the one-dimensional proof statistics
    On model identifiability in analytic postnonlinear ICA.
    Theis FJ, Gruber P
    Neurocomputing, 2005  [ PDF ]

2004

  • A constructive proof showing uniqueness of independent component analysis, basis for all later subspace&nonlinear extensions. statistics
  • Mobile decision support for transplantation patient data.
    Krause A, Hartl D, Theis FJ, Stangl M, Gerauer KE, Mehlhorn AT
    International Journal of Medical Informatics, 2004  [ PDF | PubMed ]

  • Suchmaschinen entwickeln mit Apache Lucene.
    Hardt M, Theis FJ
    Software & Support Verlag, 2004  [ PDF ]

  • Blind sensor characteristics estimation in a multi-sensor network applied to fMRI analysis.
    Theis FJ
    in Proc. ISSNIP 2004, 2004

  • statistics
    Spatial ICA of fMRI data in time windows.
    Karvanen J, Theis FJ
    in Proc. MaxEnt 2004, 2004  [ PDF ]

  • Blind source recovery: algorithm comparison and fusion.
    Theis FJ, Georgiev P, Cichocki A
    in Proc. MaxEnt 2004, 2004  [ PDF ]

  • Quite old microscopy counting scheme + software using neural networks. image processing
    ZANE - an algorithm for counting labelled cells in section images.
    Theis FJ, Kohl Z, Guggenberger C, Kuhn HG, Puntonet CG, Lang EW
    in Proc. MEDSIP 2004, 2004

  • Postnonlinear overcomplete blind source separation using sparse sources.
    Theis FJ, Amari S
    in Proc. ICA 2004, 2004  [ PDF ]

  • image processing statistics
    Second-order blind source separation based on multi-dimensional autocovariances.
    Theis FJ, Meyer-Baese A, Lang EW
    in Proc. ICA 2004, 2004  [ PDF ]

  • statistics
    Tree-dependent and topographic independent component analysis for fMRI analysis.
    Meyer-Baese A, Theis FJ, Lange O, Puntonet CG
    in Proc. ICA 2004, 2004

  • statistics
    Denoising using local ICA and a generalized eigendecomposition with time-delayed signals.
    Gruber P, Stadlthanner K, Tomé AM, Teixeira AR, Theis FJ, Puntonet CG, Lang EW
    in Proc. ICA 2004, 2004  [ PDF ]

  • 3D spatial analysis of fMRI data on a word perception task.
    Keck IR, Theis FJ, Gruber P, Lang EW, Specht K, Puntonet CG
    in Proc. ICA 2004, 2004  [ PDF ]

  • Blind source separation of linear mixtures with singular matrices.
    Georgiev P, Theis FJ
    in Proc. ICA 2004, 2004  [ PDF ]

  • statistics
    Quadratic independent component analysis.
    Theis FJ, Nakamura W
    IEICE Trans. Fundamentals, E87-A(9):2355-2363, 2004  [ PDF ]

  • statistics
    Uniqueness of real and complex linear independent component analysis revisited.
    Theis FJ
    in Proc. EUSIPCO 2004, 2004  [ PDF ]

  • Sparse Representation of Data and Support Vector Machines.
    Georgiev PG, Theis FJ, Ralescu A
    in Proc. IPMU 2004, 2004

  • Clustering of Dependent Components: A New Paradigm for fMRI Signal Detection.
    Meyer-Baese A, Theis FJ, Lange O, Wismüller A
    in Proc. IJCNN 2004, 2004  [ PDF ]

  • Postnonlinear Blind Source Separation via Linearization Identification.
    Theis FJ, Lang EW
    in Proc. IJCNN 2004, 2004  [ PDF ]

  • statistics
    3D Spatial Analysis of fMRI Data - a Comparison of ICA and GLM Analysis on a Word Perception Task.
    Keck IR, Theis FJ, Gruber P, Lang EW, Specht K, Puntonet CG
    in Proc. IJCNN 2004, 2004

  • Kernel-PCA Denoising of Artifact-free Protein NMR Spectra.
    Stadlthanner K, Lang EW, Gruber P, Theis FJ, Tomé AM, Teixeira AR, Puntonet CG
    in Proc. IJCNN 2004, 2004

  • statistics
    Denoising using local ICA and Kernel-PCA.
    Gruber P, Theis FJ, Stadlthanner K, Lang EW, Tomé AM, Teixeira AR
    in Proc. IJCNN 2004, 2004

  • Robust overcomplete matrix recovery for sparse sources using a generalized Hough transform.
    Theis FJ, Georgiev P, Cichocki A
    in Proc. ESANN 2004, 2004  [ PDF ]

  • Linearization identification and an application to BSS using a SOM.
    Theis FJ, Lang E
    in Proc. ESANN 2004, 2004

  • Separability of analytic postnonlinear blind source separation with bounded sources.
    Theis FJ, Gruber P
    in Proc. ESANN 2004, 2004  [ PDF ]

  • statistics
    Connecting geometric independent component analysis to unsupervised learning algorithms.
    Theis FJ, Gruber P, Puntonet CG, Lang EW
    in Proc. EIS 2004, 2004  [ PDF ]

  • statistics
    Automatic Denoising using Local Independent Component Analysis.
    Gruber P, Theis FJ, Tomé AM, Lang EW
    in Proc. EIS 2004, 2004  [ PDF ]

  • Classification of skin lesions by fluorscence diagnosis and independent component analysis.
    Stockmeier HG, Bäumler W, Szeimies R-, Theis FJ, Lang EW, Puntonet CG
    in Proc. BioMED 2004, 2004

  • image processing
    Automated counting of labelled cells in rodent brain section images.
    Theis FJ, Kohl Z, Kuhn HG, Stockmeier HG, Lang EW
    in Proc. BioMED 2004, 2004  [ PDF ]

  • statistics
    Blind source separation and sparse component analysis of overcomplete mixtures.
    Georgiev P, Theis FJ, Cichocki A
    in Proc. ICASSP 2004, 2004  [ PDF ]

  • Complex and multi-dimensional version of the ICA uniqueness theorem based on the one-dimensional proof statistics
    Uniqueness of complex and multidimensional independent component analysis.
    Theis FJ
    Signal Processing, 84(5):951-956, 2004  [ PDF ]

  • statistics
    A Geometric Algorithm for Overcomplete Linear ICA.
    Theis FJ, Lang EW, Puntonet CG
    Neurocomputing, 2004  [ PDF ]

2003

  • statistics
    Linear Geometric ICA: Fundamentals and Algorithms.
    Theis FJ, Jung A, Puntonet CG, Lang EW
    Neural Computation, 2003  [ PDF | PubMed ]

  • Portale und Webapplikationen mit Apache Frameworks.
    Theis FJ (Hrsg.), Kuhn S, Langham M, Mueller J, Wang D, Ziegeler C
    Software & Support Verlag, 2003  [ PDF ]

  • Enterprise Computing fuer nicht OO-Programmierer.
    Theis FJ
    Java Magazin, 2003

  • BEA e-World in Orlando.
    Theis FJ
    Java Magazin, 2003

  • Geometric source separation: algorithms and applications.
    Theis FJ
    Shaker Verlag, 2003  [ PDF ]

  • A matrix pencil approach to the blind source separation of artifacts in 2D NMR spectra.
    Stadlthanner K, Theis FJ, Lang EW, Tomé AM, Gronwald W, Kalbitzer H-
    Neural Information Processing LR, 1(3):103-110, 2003  [ PDF ]

  • On the use of independent component analysis to remove water artefacts of 2D NMR protein spectra.
    Stadlthanner K, Tomé AM, Theis FJ, Gronwald W, Kalbitzer H-, Lang EW
    in Proc. BIOENG 2003, 2003

  • PDA-based decision support and documentation for transplantation surgery data.
    Krause A, Mehlhorn A, Hartl D, Theis FJ, Riedl V, Preis S, Feike K, Greiner L, Heiss K, Gerauer KE, Stangl M
    in Proc. MoCoMed 2003, 2003

  • statistics
    SOMICA - An Application of Self-Organizing Maps to Geometric Independent Component Analysis.
    Theis FJ, Puntonet C, Lang EW
    in Proc. IJCNN 2003, 2003  [ PDF ]

  • image processing statistics
    Local Features in Biomedical Image Clusters extracted with Independent Component Analysis.
    Bauer C, Theis FJ, Baeumler W, Lang EW
    in Proc. IJCNN 2003, 2003  [ PDF ]

  • statistics
    New Geometric ICA Approach for Blind Source Separation.
    Rodriguez-Alvarez M, Rojas F, Puntonet CG, Theis FJ, Lang EW, Clemente RM
    in Intelligent Systems Design and Applications, ISDA 2003, 2003  [ PDF ]

  • statistics
    A new ICA method based on a lattice of the observation space.
    Rodriguez-Alvarez M, Rojas F, Puntonet CG, Theis FJ, Lang EW
    in Proc. Fusion 2003, 2003  [ PDF ]

  • statistics
    SOMICA and Geometric ICA.
    Theis FJ, Puntonet C, Lang EW
    in Proc. Fusion 2003, 2003  [ PDF ]

  • Adaptive Signal Analysis of Immunological Data.
    Theis FJ, Hartl D, Krauss-Etschmann S, Lang EW
    in Proc. Fusion 2003, 2003  [ PDF ]

  • Removing Water Artefacts from 2D Protein NMR Spectra using GEVD with Congruent Matrix Pencils.
    Stadlthanner K, Tomé AM, Theis FJ, Gronwald W, Kalbitzer H-, Lang EW
    in Proc. ISSPA 2003, 2003  [ PDF ]

  • Neural Network Signal Analysis in Immunology.
    Theis FJ, Hartl D, Krauss-Etschmann S, Lang EW
    in Proc. ISSPA 2003, 2003  [ PDF ]

  • statistics
    Mathematics in Independent Component Analysis.
    Theis FJ
    in Proc. ISSPA 2003, 2003  [ PDF ]

  • An Adaptive Approach to Blind Source Separation Using a Self-Organizing Map and a Neural Gas.
    Theis FJ, Alvarez MR, Puntonet C, Lang EW
    in Proc. IWANN 2003, 2003

  • statistics
    Generalizing Geometric ICA to Nonlinear Settings.
    Theis FJ, Puntonet C, Lang EW
    in Proc. IWANN 2003, 2003

  • A Generalized Eigendecomposition Approach Using Matrix Pencils to Remove Artifacts from 2D NMR Spectra.
    Stadlthanner K, Tomé AM, Theis FJ, Lang EW
    in Proc. IWANN 2003, 2003

  • An Improved Geometric Overcomplete Blind Source Separation Algorithm.
    Theis FJ, Puntonet C, Lang EW
    in Proc. IWANN 2003, 2003

  • Blind Source Separation of Water Artefacts in NMR Spectra using a Matrix Pencil.
    Stadlthanner K, Tomé AM, Theis FJ, Gronwald W, Kalbitzer H-, Lang EW
    in Proc. ICA 2003, 2003

  • statistics
    A Geometric ICA Procedure Based on a Lattice of the Observation Space.
    Alvarez MR, Rojas F, Puntonet CG, Ortega J, Theis FJ, Lang EW
    in Proc. ICA 2003, 2003

  • statistics
    Nonlinear Geometric ICA.
    Theis FJ, Puntonet CG, Lang EW
    in Proc. ICA 2003, 2003  [ PDF ]

  • statistics
    A Histogram-Based Overcomplete ICA Algorithm.
    Theis FJ, Puntonet CG, Lang EW
    in Proc. ICA 2003, 2003  [ PDF ]

2002

  • Professionelles Reporting, XML2XL: Transformation von XML-Dokumenten in Excel mit POI und dom4j.
    Theis FJ
    Java Magazin, 2002

  • Jetspeed-Praxisprojekt: Auctioner = eBay + MyNetscape.
    Theis FJ, Kuhn S
    Java Magazin, 2002  [ PDF ]

  • Die Town-Datenbank-API.
    Theis FJ
    Java Spektrum, 2002

  • Turbine - das Apache Web Application Framework, Teil 1.
    Theis FJ
    Java Magazin, 2002  [ PDF ]

  • Turbine, Teil 2: Entwicklung einer Shop-Anwendung.
    Theis FJ
    Java Magazin, 2002

  • Topological Constructions in the o-Graph Calculus.
    Theis FJ
    Mathematische Nachrichten, 2002  [ PDF ]

  • Mobile application for transplantation surgery data.
    Krause A, Mehlhorn A, Hartl D, Theis FJ, Riedl V, Preis S, Feike K, Greiner L, Heiss K, Gerauer KE, Stangl M
    in Medica 2002, Bayern Innovativ - Poster Session, 2002  [ PDF ]

  • statistics
    Mathematics in Independent Component Analysis.
    Theis FJ
    Logos Verlag Berlin, 2002  [ PDF ]

  • statistics
    Overcomplete ICA with a Geometric Algorithm.
    Theis FJ, Lang EW, Westenhuber T, Puntonet CG
    in Proc. ICANN 2002, 2002

  • statistics
    Extending Geometric ICA to Overcomplete and High-Dimensional BSS-Problems.
    Theis FJ, Lang EW, Rojas F, Puntonet CG
    in Signal Processing, Pattern Recognition & Applications (Proc. SPPRA 2002), 2002

  • statistics
    Comparison of maximum entropy and minimal mutual information in a nonlinear setting.
    Theis FJ, Bauer C, Lang EW
    Signal Processing, 2002  [ PDF ]

  • statistics
    Formalization of the Two-Step Approach to Overcomplete BSS.
    Theis FJ, Lang EW
    in Proc. SIP 2002, 2002  [ PDF ]

  • statistics
    A Theoretical Framework for Overcomplete Geometric BMMR.
    Theis FJ, Lang EW, Lautenschlager MA, Puntonet CG
    in Proc. SIP 2002, 2002  [ PDF ]

  • statistics
    Geometric ICA in overcomplete and high-dimensional settings.
    Theis FJ
    in Workshop Report II of the Graduiertenkolleg, 2002

  • statistics
    How to generalize Geometric ICA to higher dimensions.
    Theis FJ, Lang EW
    in Proc. ESANN 2002, 2002  [ PDF ]

  • statistics
    Geometric Overcomplete ICA.
    Theis FJ, Lang EW
    in Proc. ESANN 2002, 2002  [ PDF ]

2001

  • statistics
    A Geometric Algorithm for Overcomplete Linear ICA.
    Theis FJ
    in Workshop Report I of the Graduiertenkolleg, 2001  [ PDF ]

  • statistics
    Maximum Entropy and Minimal Mutual Information in a Nonlinear Model.
    Theis FJ, Lang EW
    in Proc. ICA 2001, 2001  [ PDF ]

  • statistics
    FastGeo - A Histogram based Approach to Linear Geometric ICA.
    Jung A, Theis FJ, Puntonet CG, Lang EW
    in Proc. ICA 2001, 2001  [ PDF ]

  • statistics
    A Theoretic Model for Geometric Linear ICA.
    Theis FJ, Jung A, Lang EW, Puntonet CG
    in Proc. ICA 2001, 2001  [ PDF ]

  • statistics
    Pattern Repulsion Revisited.
    Theis FJ, Bauer C, Puntonet C, Lang EW
    in Proc. IWANN 2001, 2001  [ PDF ]