688 results
(View BibTeX file of all listed publications)

**Nonnegative Matrix Approximation: Algorithms and Applications**
Univ. of Texas, Austin, May 2006 (techreport)

**Advances in Neural Information Processing Systems 18: Proceedings of the 2005 Conference **
*Proceedings of the 19th Annual Conference on Neural Information Processing Systems (NIPS 2005)*, pages: 1676, MIT Press, Cambridge, MA, USA, 19th Annual Conference on Neural Information Processing Systems (NIPS), May 2006 (proceedings)

**Row-Action Methods for Compressed Sensing**
In *ICASSP 2006*, pages: 868-871, IEEE Operations Center, Piscataway, NJ, USA, IEEE International Conference on Acoustics, Speech and Signal Processing, May 2006 (inproceedings)

**Learning an Interest Operator from Human Eye Movements**
In *CVPWR 2006*, pages: page 24, (Editors: C Schmid and S Soatto and C Tomasi), IEEE Computer Society, Los Alamitos, CA, USA, 2006 Conference on Computer Vision and Pattern Recognition Workshop, April 2006 (inproceedings)

**Evaluating Predictive Uncertainty Challenge**
In *Machine Learning Challenges: Evaluating Predictive Uncertainty, Visual Object Classification, and Recognising Tectual Entailment*, pages: 1-27, (Editors: J Quiñonero Candela and I Dagan and B Magnini and F d’Alché-Buc), Springer, Berlin, Germany, First PASCAL Machine Learning Challenges Workshop (MLCW), April 2006 (inproceedings)

**The Effect of Artifacts on Dependence Measurement in fMRI**
*Magnetic Resonance Imaging*, 24(4):401-409, April 2006 (article)

**An Automated Combination of Sequence Motif Kernels for Predicting Protein Subcellular Localization**
(146), Max Planck Institute for Biological Cybernetics, Tübingen, April 2006 (techreport)

**Einer für viele: Ein Linux-PC bedient mehrere Arbeitsplätze**
*c‘t*, 2006(10):228-235, April 2006 (article)

**Phase noise and the classification of natural images**
*Vision Research*, 46(8-9):1520-1529, April 2006 (article)

**Training a Support Vector Machine in the Primal**
(147), Max Planck Institute for Biological Cybernetics, Tübingen, April 2006, The version in the "Large Scale Kernel Machines" book is more up to date. (techreport)

**Kernel PCA for Image Compression**
Biologische Kybernetik, Eberhard-Karls-Universität, Tübingen, Germany, April 2006 (diplomathesis)

**Functional census of mutation sequence spaces: The example of p53 cancer rescue mutants**
*IEEE Transactions on Computational Biology and Bioinformatics*, 3(2):114-125, April 2006 (article)

**A Direct Method for Building Sparse Kernel Learning Algorithms**
*Journal of Machine Learning Research*, 7, pages: 603-624, April 2006 (article)

**An Inventory of Sequence Polymorphisms For Arabidopsis**
17th International Conference on Arabidopsis Research, April 2006 (talk)

**Estimating Predictive Variances with Kernel Ridge Regression**
In *MLCW 2005*, pages: 56-77, (Editors: Quinonero-Candela, J. , I. Dagan, B. Magnini, F. D‘Alché-Buc), Springer, Berlin, Germany, First PASCAL Machine Learning Challenges Workshop, April 2006 (inproceedings)

**Machine Learning and Applications in Biology**
6th Course in Bioinformatics for Molecular Biologist, March 2006 (talk)

**The Pedestal Effect is Caused by Off-Frequency Looking, not Nonlinear Transduction or Contrast Gain-Control**
9, pages: 174, 9th T{\"u}bingen Perception Conference (TWK), March 2006 (poster)

**Efficient tests for the deconvolution hypothesis**
*Workshop on Statistical Inverse Problems*, March 2006 (poster)

**Kernel extrapolation**
*Neurocomputing*, 69(7-9):721-729, March 2006 (article)

**ICA by PCA Approach: Relating Higher-Order Statistics to Second-Order Moments**
In *Independent Component Analysis and Blind Signal Separation*, pages: 311-318, (Editors: J P Rosca and D Erdogmus and J C Príncipe and S Haykin), Springer, 6th International Conference on Independent Component Analysis and Blind Signal Separation (ICA), March 2006, Series: Lecture Notes in Computer Science, Vol. 3889 (inproceedings)

**Statistical Properties of Kernel Principal Component Analysis**
*Machine Learning*, 66(2-3):259-294, March 2006 (article)

**Network-based de-noising improves prediction from microarray data**
*BMC Bioinformatics*, 7(Suppl. 1):S4-S4, March 2006 (article)

**Gaussian Process Models for Robust Regression, Classification, and Reinforcement Learning**
Biologische Kybernetik, Technische Universität Darmstadt, Darmstadt, Germany, March 2006, passed with distinction, published online (phdthesis)

**Classification of Natural Scenes: Critical Features Revisited**
9, pages: 92, 9th T{\"u}bingen Perception Conference (TWK), March 2006 (poster)

**Machine Learning Methods For Estimating Operator Equations**
In *Proceedings of the 14th IFAC Symposium on System Identification (SYSID 2006)*, pages: 6, (Editors: B Ninness and H Hjalmarsson), Elsevier, Oxford, United Kingdom, 14th IFAC Symposium on System Identification (SYSID), March 2006 (inproceedings)

**Data mining problems and solutions for response modeling in CRM**
*Entrue Journal of Information Technology*, 5(1):55-64, March 2006 (article)

**Factorial Coding of Natural Images: How Effective are Linear Models in Removing Higher-Order Dependencies?**
9, pages: 90, 9th T{\"u}bingen Perception Conference (TWK), March 2006 (poster)

**Implicit Volterra and Wiener Series for Higher-Order Image Analysis**
In *Advances in Data Analysis: Proceedings of the 30th Annual Conference of The Gesellschaft für Klassifikation*, 30, pages: 1, March 2006 (inproceedings)

**Model-based Design Analysis and Yield Optimization**
*IEEE Transactions on Semiconductor Manufacturing*, 19(4):475-486, February 2006 (article)

**Prenatal development of ocular dominance and orientation maps in a self-organizing model of V1**
*Neurocomputing*, 69(10-12):1291-1296, February 2006 (article)

**Weighting of experimental evidence in macromolecular structure determination**
*Proceedings of the National Academy of Sciences of the United States of America*, 103(6):1756-1761, February 2006 (article)

**Cross-Validation Optimization for Structured Hessian Kernel Methods**
Max-Planck Institute for Biological Cybernetics, Tübingen, Germany, February 2006 (techreport)

**Large-scale prediction of disulphide bridges using kernel methods, two-dimensional recursive neural networks, and weighted graph matching**
*Proteins*, 62(3):617-629, February 2006 (article)

**Subspace identification through blind source separation**
*IEEE Signal Processing Letters*, 13(2):100-103, February 2006 (article)

**Nonstationary Gaussian Process Regression using a Latent Extension of the Input Space**
pages: 3, January 2006 (poster)

**Classification of Faces in Man and Machine**
*Neural Computation*, 18(1):143-165, January 2006 (article)

**Gaussian Processes for Machine Learning**
pages: 248, Adaptive Computation and Machine Learning, MIT Press, Cambridge, MA, USA, January 2006 (book)

**Class prediction from time series gene expression profiles using dynamical systems kernels**
In pages: 547-558, (Editors: Altman, R.B. A.K. Dunker, L. Hunter, T. Murray, T.E. Klein), World Scientific, Singapore, Pacific Symposium on Biocomputing (PSB), January 2006 (inproceedings)

**Causal Inference by Choosing Graphs with Most Plausible Markov Kernels**
In *Proceedings of the 9th International Symposium on Artificial Intelligence and Mathematics*, pages: 1-11, ISAIM, January 2006 (inproceedings)

**Dimension Reduction as a Deflation Method in ICA**
*IEEE Signal Processing Letters*, 13(1):45-48, 2006 (article)

**Extensions of ICA for Causality Discovery in the Hong Kong Stock Market**
In *Neural Information Processing, 13th International Conference, ICONIP 2006*, pages: 400-409, (Editors: I King and J Wang and L Chan and D L Wang), Springer, 13th International Conference on Neural Information Processing (ICONIP), 2006, Lecture Notes in Computer Science, 2006, Volume 4234/2006 (inproceedings)

**Enhancement of source independence for blind source separation**
In *Independent Component Analysis and Blind Signal Separation, LNCS 3889*, pages: 731-738, (Editors: J. Rosca and D. Erdogmus and JC Príncipe und S. Haykin), Springer, Berlin, Germany, 6th International Conference on Independent Component Analysis and Blind Signal Separation (ICA), 2006, Lecture Notes in Computer Science, 2006, Volume 3889/2006 (inproceedings)

**Semigroups applied to transport and queueing processes**
Biologische Kybernetik, Eberhard Karls Universität, Tübingen, 2006 (phdthesis)

**Apparatus for Inspecting Alignment Film of Liquid Crystal Display and Method Thereof**
Max-Planck-Gesellschaft, Biologische Kybernetik, 2006 (patent)

**ICA with Sparse Connections**
In *Intelligent Data Engineering and Automated Learning – IDEAL 2006*, pages: 530-537, (Editors: E Corchado and H Yin and V Botti und Colin Fyfe), Springer, 7th International Conference on Intelligent Data Engineering and Automated Learning (IDEAL), 2006, Lecture Notes in Computer Science, 2006, Volume 4224/2006 (inproceedings)

**Classification of natural scenes: critical features revisited**
*Experimentelle Psychologie: Beitr{\"a}ge zur 48. Tagung experimentell arbeitender Psychologen*, 48, pages: 251, 2006 (poster)

**Local Alignment Kernels for Protein Homology Detection**
Biologische Kybernetik, Kyoto University, Kyoto, Japan, 2006 (phdthesis)

**Machine Learning Challenges: evaluating predictive uncertainty, visual object classification and recognising textual entailment**
*Proceedings of the First Pascal Machine Learning Challenges Workshop on Machine Learning Challenges, Evaluating Predictive Uncertainty, Visual Object Classification and Recognizing Textual Entailment (MLCW 2005)*, pages: 462, Lecture Notes in Computer Science, Springer, Heidelberg, Germany, First Pascal Machine Learning Challenges Workshop (MLCW), 2006 (proceedings)

**Texture and haptic cues in slant discrimination: combination is sensitive to reliability but not statistically optimal**
*Beitr{\"a}ge zur 48. Tagung experimentell arbeitender Psychologen (TeaP 2006)*, 48, pages: 80, 2006 (poster)

**Symbol Recognition with Kernel Density Matching**
*IEEE Transactions on Pattern Analysis and Machine Intelligence*, 28(12):2020-2024, 2006 (article)