2009 | ||
---|---|---|
64 | EE | Peter Gruber, Harold W. Gutch, Fabian J. Theis: Hierarchical Extraction of Independent Subspaces of Unknown Dimensions. ICA 2009: 259-266 |
63 | EE | Fabian J. Theis, Thomas P. Cason, Pierre-Antoine Absil: Soft Dimension Reduction for ICA by Joint Diagonalization on the Stiefel Manifold. ICA 2009: 354-361 |
62 | EE | Florian Blöchl, Fabian J. Theis: Estimating Hidden Influences in Metabolic and Gene Regulatory Networks. ICA 2009: 387-394 |
61 | EE | Fabian J. Theis, Richard Neher, Andre Zeug: Blind Decomposition of Spectral Imaging Microscopy: A Study on Artificial and Real Test Data. ICA 2009: 548-556 |
2008 | ||
60 | Anke Meyer-Bäse, Fabian J. Theis: Stochastic Stability Analysis of the Heat Shock Response in E. Coli. BIOCOMP 2008: 39-42 | |
59 | EE | Javier Ramírez, Juan Manuel Górriz, M. Gómez-Río, A. Romero, R. Chaves, A. Lassl, A. Rodríguez, Carlos García Puntonet, Fabian J. Theis, Elmar Wolfgang Lang: Effective Emission Tomography Image Reconstruction Algorithms for SPECT Data. ICCS (1) 2008: 741-748 |
58 | EE | Reinhard Schachtner, Dominik Lutter, P. Knollmüller, Ana Maria Tomé, Fabian J. Theis, Gerd Schmitz, Martin Stetter, Pedro Gómez Vilda, Elmar Wolfgang Lang: Knowledge-based gene expression classification via matrix factorization. Bioinformatics 24(15): 1688-1697 (2008) |
57 | EE | Dirk Brockmann, Fabian J. Theis: Money Circulation, Trackable Items, and the Emergence of Universal Human Mobility Patterns. IEEE Pervasive Computing 7(4): 28-35 (2008) |
56 | EE | Fabian J. Theis, Peter Gruber, Ingo R. Keck, Elmar Wolfgang Lang: A robust model for spatiotemporal dependencies. Neurocomputing 71(10-12): 2209-2216 (2008) |
55 | EE | Kurt Stadlthanner, Fabian J. Theis, Elmar Wolfgang Lang, Ana Maria Tomé, Carlos García Puntonet, Juan Manuel Górriz: Hybridizing sparse component analysis with genetic algorithms for microarray analysis. Neurocomputing 71(10-12): 2356-2376 (2008) |
2007 | ||
54 | EE | Fabian J. Theis, Motoaki Kawanabe: Colored Subspace Analysis. ICA 2007: 121-128 |
53 | EE | Cédric Févotte, Fabian J. Theis: Pivot Selection Strategies in Jacobi Joint Block-Diagonalization. ICA 2007: 177-184 |
52 | EE | Peter Gruber, C. Kohler, Fabian J. Theis: A Toolbox for Model-Free Analysis of fMRI Data. ICA 2007: 209-217 |
51 | EE | Pando G. Georgiev, Fabian J. Theis, Anca L. Ralescu: Identifiability Conditions and Subspace Clustering in Sparse BSS. ICA 2007: 357-364 |
50 | EE | Harold W. Gutch, Fabian J. Theis: Independent Subspace Analysis Is Unique, Given Irreducibility. ICA 2007: 49-56 |
49 | EE | Reinhard Schachtner, Dominik Lutter, Fabian J. Theis, Elmar Wolfgang Lang, Ana Maria Tomé, Juan Manuel Górriz Sáez, Carlos García Puntonet: Blind Matrix Decomposition Techniques to Identify Marker Genes from Microarrays. ICA 2007: 649-656 |
48 | EE | Kurt Stadlthanner, Fabian J. Theis, Elmar Wolfgang Lang, Ana Maria Tomé, Carlos García Puntonet: Blind Matrix Decomposition Via Genetic Optimization of Sparseness and Nonnegativity Constraints. ICANN (1) 2007: 799-808 |
47 | EE | Reinhard Schachtner, Dominik Lutter, Fabian J. Theis, Elmar Wolfgang Lang, Ana Maria Tomé, Gerd Schmitz: Exploiting Blind Matrix Decomposition Techniques to Identify Diagnostic Marker Genes. ICANN (2) 2007: 80-89 |
46 | EE | J. Michael Herrmann, Fabian J. Theis: Statistical Analysis of Sample-Size Effects in ICA. IDEAL 2007: 416-425 |
45 | EE | Kurt Stadlthanner, Dominik Lutter, Fabian J. Theis, Elmar Wolfgang Lang, Ana Maria Tomé, Petia Georgieva, Carlos García Puntonet: Sparse Nonnegative Matrix Factorization with Genetic Algorithms for Microarray Analysis. IJCNN 2007: 294-299 |
44 | EE | Motoaki Kawanabe, Fabian J. Theis: Joint low-rank approximation for extracting non-Gaussian subspaces. Signal Processing 87(8): 1890-1903 (2007) |
2006 | ||
43 | EE | Motoaki Kawanabe, Fabian J. Theis: Estimating Non-Gaussian Subspaces by Characteristic Functions. ICA 2006: 157-164 |
42 | EE | Kurt Stadlthanner, Fabian J. Theis, Elmar Wolfgang Lang, Ana Maria Tomé, Carlos García Puntonet, Pedro Gómez Vilda, Thomas Langmann, Gerd Schmitz: Sparse Nonnegative Matrix Factorization Applied to Microarray Data Sets. ICA 2006: 254-261 |
41 | EE | Fabian J. Theis, Motoaki Kawanabe: Uniqueness of Non-Gaussian Subspace Analysis. ICA 2006: 917-925 |
40 | EE | Toshihisa Tanaka, Yumi Murakami, Fabian J. Theis: A Fast Predictive Lossless Coder for fMRI Data Sets. ICIP 2006: 2529-2532 |
39 | EE | Ingo R. Keck, Jan Churan, Fabian J. Theis, Peter Gruber, Elmar Wolfgang Lang, Carlos García Puntonet: Region of Interest Based Independent Component Analysis. ICONIP (1) 2006: 1048-1057 |
38 | EE | Anke Meyer-Bäse, Vera Thümmler, Fabian J. Theis: Stability Analysis of an Unsupervised Competitive Neural Network. IJCNN 2006: 1025-1028 |
37 | EE | Stefano Squartini, Francesco Piazza, Fabian J. Theis: New Riemannian metrics for speeding-up the convergence of over- and underdetermined ICA. ISCAS 2006 |
36 | EE | Fabian J. Theis, Yujiro Inouye: On the use of joint diagonalization in blind signal processing. ISCAS 2006 |
35 | EE | Fabian J. Theis: Towards a general independent subspace analysis. NIPS 2006: 1361-1368 |
34 | EE | Peter Gruber, Kurt Stadlthanner, Matthias Böhm, Fabian J. Theis, Elmar Wolfgang Lang, Ana Maria Tomé, Ana R. Teixeira, Carlos García Puntonet, Juan Manuel Górriz Sáez: Denoising using local projective subspace methods. Neurocomputing 69(13-15): 1485-1501 (2006) |
33 | EE | Kurt Stadlthanner, Ana Maria Tomé, Fabian J. Theis, Elmar Wolfgang Lang, Wolfram Gronwald, Hans Robert Kalbitzer: Separation of water artifacts in 2D NOESY protein spectra using congruent matrix pencils. Neurocomputing 69(4-6): 497-522 (2006) |
32 | EE | Fabian J. Theis, Gonzalo A. García: On the use of sparse signal decomposition in the analysis of multi-channel surface electromyograms. Signal Processing 86(3): 603-623 (2006) |
2005 | ||
31 | EE | Fabian J. Theis, Peter Gruber, Ingo R. Keck, Elmar Wolfgang Lang: Functional MRI Analysis by a Novel Spatiotemporal ICA Algorithm. ICANN (1) 2005: 677-682 |
30 | EE | Juan Manuel Górriz Sáez, Javier Ramírez, Carlos García Puntonet, Fabian J. Theis, Elmar Wolfgang Lang: Bispectrum-Based Statistical Tests for VAD. ICANN (2) 2005: 541-546 |
29 | EE | Fabian J. Theis, Toshihisa Tanaka: A Fast and Efficient Method for Compressing fMRI Data Sets. ICANN (2) 2005: 769-777 |
28 | EE | Kurt Stadlthanner, Fabian J. Theis, Carlos García Puntonet, Juan Manuel Górriz, Ana Maria Tomé, Elmar Wolfgang Lang: Hybridizing Sparse Component Analysis with Genetic Algorithms for Blind Source Separation. ISBMDA 2005: 137-148 |
27 | EE | Fabian J. Theis: Blind signal separation into groups of dependent signals using joint block diagonalization. ISCAS (6) 2005: 5878-5881 |
26 | EE | Matthias Böhm, Kurt Stadlthanner, Elmar Wolfgang Lang, Ana Maria Tomé, Ana R. Teixeira, Fabian J. Theis, Carlos García Puntonet: A Hybridization of Simulated Annealing and Local PCA for Automatic Component Assignment Within ICA. IWANN 2005: 1075-1082 |
25 | EE | Kurt Stadlthanner, Fabian J. Theis, Carlos García Puntonet, Elmar Wolfgang Lang: Extended Sparse Nonnegative Matrix Factorization. IWANN 2005: 249-256 |
24 | EE | Matthias Böhm, Kurt Stadlthanner, Ana Maria Tomé, Peter Gruber, Ana R. Teixeira, Fabian J. Theis, Carlos García Puntonet, Elmar Wolfgang Lang: AutoAssign - An Automatic Assignment Tool for Independent Components. IbPRIA (2) 2005: 75-82 |
23 | EE | Fabian J. Theis, Peter Gruber: On model identifiability in analytic postnonlinear ICA. Neurocomputing 64: 223-234 (2005) |
2004 | ||
22 | EE | Fabian J. Theis, Elmar Wolfgang Lang: Linearization identification and an application to BSS using a SOM. ESANN 2004: 205-210 |
21 | EE | Fabian J. Theis, Peter Gruber: Separability of analytic postnonlinear blind source separation with bounded sources. ESANN 2004: 217-222 |
20 | EE | Fabian J. Theis, Pando G. Georgiev, Andrzej Cichocki: Robust overcomplete matrix recovery for sparse sources using a generalized Hough transform. ESANN 2004: 343-348 |
19 | EE | Pando G. Georgiev, Fabian J. Theis: Blind Source Separation of Linear Mixtures with Singular Matrices. ICA 2004: 121-128 |
18 | EE | Fabian J. Theis, Shun-ichi Amari: Postnonlinear Overcomplete Blind Source Separation Using Sparse Sources. ICA 2004: 718-725 |
17 | EE | Fabian J. Theis, Anke Meyer-Bäse, Elmar Wolfgang Lang: Second-Order Blind Source Separation Based on Multi-dimensional Autocovariances. ICA 2004: 726-733 |
16 | EE | Anke Meyer-Bäse, Fabian J. Theis, Oliver Lange, Carlos García Puntonet: Tree-Dependent and Topographic Independent Component Analysis for fMRI Analysis. ICA 2004: 782-789 |
15 | EE | Ingo R. Keck, Fabian J. Theis, Peter Gruber, Elmar Wolfgang Lang, Karsten Specht, Carlos García Puntonet: 3D Spatial Analysis of fMRI Data on a Word Perception Task. ICA 2004: 977-984 |
14 | EE | Peter Gruber, Kurt Stadlthanner, Ana Maria Tomé, Ana R. Teixeira, Fabian J. Theis, Carlos García Puntonet, Elmar Wolfgang Lang: Denoising Using Local ICA and a Generalized Eigendecomposition with Time-Delayed Signals. ICA 2004: 993-1000 |
13 | EE | Fabian J. Theis: A New Concept for Separability Problems in Blind Source Separation. Neural Computation 16(9): 1827-1850 (2004) |
12 | EE | Fabian J. Theis, Elmar Wolfgang Lang, Carlos García Puntonet: A geometric algorithm for overcomplete linear ICA. Neurocomputing 56: 381-398 (2004) |
11 | EE | Fabian J. Theis: Uniqueness of complex and multidimensional independent component analysis. Signal Processing 84(5): 951-956 (2004) |
2003 | ||
10 | EE | Fabian J. Theis, Carlos García Puntonet, Elmar Wolfgang Lang: An Improved Geometric Overcomplete Blind Source Separation Algorithm. IWANN (2) 2003: 265-272 |
9 | EE | Kurt Stadlthanner, Ana Maria Tomé, Fabian J. Theis, Elmar Wolfgang Lang: A Generalized Eigendecomposition Approach Using Matrix Pencils to Remove Artefacts from 2D NMR Spectra. IWANN (2) 2003: 575-582 |
8 | EE | Fabian J. Theis, Carlos García Puntonet, Elmar Wolfgang Lang: Generalizing Geometric ICA to Nonlinear Settings. IWANN (2) 2003: 687-694 |
7 | EE | Fabian J. Theis, Manuel Rodríguez Álvarez, Carlos García Puntonet, Elmar Wolfgang Lang: An Adaptive Approach to Blind Source Separation Using a Self-Organzing Map and a Neural Gas. IWANN (2) 2003: 695-702 |
6 | EE | Fabian J. Theis, Andreas Jung, Carlos García Puntonet, Elmar Wolfgang Lang: Linear Geometric ICA: Fundamentals and Algorithms. Neural Computation 15(2): 419-439 (2003) |
2002 | ||
5 | Fabian J. Theis, Elmar Wolfgang Lang: How to generalize geometric ICA to higher dimensions. ESANN 2002: 205-210 | |
4 | Fabian J. Theis, Elmar Wolfgang Lang: Geometric overcomplete ICA. ESANN 2002: 217-222 | |
3 | EE | Fabian J. Theis, Elmar Wolfgang Lang, Tobias Westenhuber, Carlos García Puntonet: Overcomplete ICA with a Geometric Algorithm. ICANN 2002: 1049-1054 |
2 | EE | Fabian J. Theis, Christoph Bauer, Elmar Wolfgang Lang: Comparison of maximum entropy and minimal mutual information in a nonlinear setting. Signal Processing 82(7): 971-980 (2002) |
2001 | ||
1 | EE | Fabian J. Theis, Christoph Bauer, Carlos García Puntonet, Elmar Wolfgang Lang: Pattern Repulsion Revisited. IWANN (2) 2001: 778-785 |