703 results
(View BibTeX file of all listed publications)

**Expectation Maximization for Clustering on Hyperspheres**
Univ. of Texas at Austin, February 2003 (techreport)

**Constraints measures and reproduction of style in robot imitation learning**
6, pages: 70, (Editors: H.H. Bülthoff, K.R. Gegenfurtner, H.A. Mallot, R. Ulrich, F.A. Wichmann), 6. T{\"u}binger Wahrnehmungskonferenz (TWK), February 2003 (poster)

**Study of Human Classification using Psychophysics and Machine Learning**
6, pages: 149, (Editors: H.H. Bülthoff, K.R. Gegenfurtner, H.A. Mallot, R. Ulrich, F.A. Wichmann), 6. T{\"u}binger Wahrnehmungskonferenz (TWK), Febuary 2003 (poster)

**A Representation of Complex Movement Sequences Based on Hierarchical Spatio-Temporal Correspondence for Imitation Learning in Robotics**
6, pages: 74, (Editors: H.H. Bülthoff, K.R. Gegenfurtner, H.A. Mallot, R. Ulrich, F.A. Wichmann), 6. T{\"u}binger Wahrnehmungskonferenz (TWK), February 2003 (poster)

**Hierarchical Spatio-Temporal Morphable Models for Representation of
complex movements for Imitation Learning**
In *11th International Conference on Advanced Robotics*, (2):453-458, (Editors: Nunes, U., A. de Almeida, A. Bejczy, K. Kosuge and J.A.T. Machado), 11th International Conference on Advanced Robotics, January 2003 (inproceedings)

**Modeling Data using Directional Distributions**
Univ. of Texas at Austin, January 2003 (techreport)

Ong, CS., Smola, AJ., Williamson, RC.
**Hyperkernels**
In pages: 495-502, 2003 (inproceedings)

**An Introduction to Variable and Feature Selection.**
*Journal of Machine Learning*, 3, pages: 1157-1182, 2003 (article)

**Feature Selection for Support Vector Machines by Means of Genetic Algorithms**
In *15th IEEE International Conference on Tools with AI*, pages: 142-148, 15th IEEE International Conference on Tools with AI, 2003 (inproceedings)

**Propagation of Uncertainty in Bayesian Kernel Models - Application to Multiple-Step Ahead Forecasting**
In *IEEE International Conference on Acoustics, Speech and Signal Processing*, 2, pages: 701-704, IEEE International Conference on Acoustics, Speech and Signal Processing, 2003 (inproceedings)

**Unsupervised Clustering of Images using their Joint Segmentation**
In *The 3rd International Workshop on Statistical and Computational Theories of Vision (SCTV 2003)*, pages: 1-24, 3rd International Workshop on Statistical and Computational Theories of Vision (SCTV), 2003 (inproceedings)

**A Note on Parameter Tuning for On-Line Shifting Algorithms**
Max Planck Institute for Biological Cybernetics, Tübingen, Germany, 2003 (techreport)

**Dynamics of a rigid body in a Stokes fluid**
*Journal of Fluid Mechanics*, 2003 (article) Accepted

**A novel transient heater-foil technique for liquid crystal experiments on film cooled surfaces**
*ASME Journal of Turbomachinery*, 125, pages: 529-537, 2003 (article)

**Support Vector Machines**
In *Handbook of Brain Theory and Neural Networks (2nd edition)*, pages: 1119-1125, (Editors: MA Arbib), MIT Press, Cambridge, MA, USA, 2003 (inbook)

**Prediction at an Uncertain Input for Gaussian Processes and Relevance Vector Machines - Application to Multiple-Step Ahead Time-Series Forecasting**
(IMM-2003-18), Max Planck Institute for Biological Cybernetics, Tübingen, Germany, 2003 (techreport)

**Large margin Methods in Label Sequence Learning**
Brown University, Providence, RI, USA, 2003 (mastersthesis)

**Kernel Methods and Their Applications to Signal Processing**
In *Proceedings. (ICASSP ‘03)*, Special Session on Kernel Methods, pages: 860 , ICASSP, 2003 (inproceedings)

**Predictive control with Gaussian process models**
In *Proceedings of IEEE Region 8 Eurocon 2003: Computer as a Tool*, pages: 352-356, (Editors: Zajc, B. and M. Tkal), Proceedings of IEEE Region 8 Eurocon: Computer as a Tool, 2003 (inproceedings)

**Extension of the nu-SVM range for classification**
In *Advances in Learning Theory: Methods, Models and Applications, NATO Science Series III: Computer and Systems Sciences, Vol. 190*, 190, pages: 179-196, NATO Science Series III: Computer and Systems Sciences, (Editors: J Suykens and G Horvath and S Basu and C Micchelli and J Vandewalle), IOS Press, Amsterdam, 2003 (inbook)

**m-Alternative Forced Choice—Improving the Efficiency of the
Method of Constant Stimuli**
Biologische Kybernetik, Graduate School for Neural and
Behavioural Sciences, Tübingen, 2003 (diplomathesis)

**Microarrays: How Many Do You Need?**
*Journal of Computational Biology*, 10(3-4):653-667, 2003 (article)

**New Approaches to Statistical Learning Theory**
*Annals of the Institute of Statistical Mathematics*, 55(2):371-389, 2003 (article)

**Distance-based classification with Lipschitz functions**
In *Learning Theory and Kernel Machines, Proceedings of the 16th Annual Conference on Computational Learning Theory*, pages: 314-328, (Editors: Schölkopf, B. and M.K. Warmuth), Learning Theory and Kernel Machines, Proceedings of the 16th Annual Conference on Computational Learning Theory, 2003 (inproceedings)

**An Introduction to Support Vector Machines**
In *Recent Advances and Trends in Nonparametric Statistics
*, pages: 3-17, (Editors: MG Akritas and DN Politis), Elsevier, Amsterdam, The Netherlands, 2003 (inbook)

**Statistical Learning and Kernel Methods in Bioinformatics**
In *Artificial Intelligence and Heuristic Methods in Bioinformatics*, 183, pages: 1-21, 3, (Editors: P Frasconi und R Shamir), IOS Press, Amsterdam, The Netherlands, 2003 (inbook)

**Interactive Images**
(MSR-TR-2003-64), Microsoft Research, Cambridge, UK, 2003 (techreport)

**The importance of phase information for recognizing natural images**
2003 (poster)

**Semi-Supervised Learning through Principal Directions Estimation**
In *ICML Workshop, The Continuum from Labeled to Unlabeled Data in Machine Learning & Data Mining*, pages: 7, ICML Workshop: The Continuum from Labeled to Unlabeled Data in Machine Learning & Data Mining, 2003 (inproceedings)

**Statistical Learning and Kernel Methods**
In *Adaptivity and Learning—An Interdisciplinary Debate*, pages: 161-186, (Editors: R.Kühn and R Menzel and W Menzel and U Ratsch and MM Richter and I-O Stamatescu), Springer, Berlin, Heidelberg, Germany, 2003 (inbook)

**A Short Introduction to Learning with Kernels**
In *Proceedings of the Machine Learning Summer School, Lecture Notes in Artificial Intelligence, Vol. 2600*, pages: 41-64, LNAI 2600, (Editors: S Mendelson and AJ Smola), Springer, Berlin, Heidelberg, Germany, 2003 (inbook)

**Bayesian Kernel Methods**
In *Advanced Lectures on Machine Learning, Machine Learning Summer School 2002, Lecture Notes in Computer Science, Vol. 2600*, LNAI 2600, pages: 65-117, 0, (Editors: S Mendelson and AJ Smola), Springer, Berlin, Germany, 2003 (inbook)

**Gene expression in chondrocytes assessed with use of microarrays**
*Journal of Bone and Joint Surgery*, 85(Suppl 2):117-123, 2003 (article)

Ong, CS., Smola, AJ.
**Machine Learning with Hyperkernels**
In pages: 568-575, 2003 (inproceedings)

**Gaussian Processes to Speed up Hybrid Monte Carlo for Expensive Bayesian Integrals**
In *Bayesian Statistics 7*, pages: 651-659, (Editors: J. M. Bernardo, M. J. Bayarri, J. O. Berger, A. P. Dawid, D. Heckerman, A. F. M. Smith and M. West), Bayesian Statistics 7, 2003 (inproceedings)

**Dimension Reduction Based on Orthogonality — a Decorrelation Method in ICA**
In *Artificial Neural Networks and Neural Information Processing - ICANN/ICONIP 2003*, pages: 132-139, (Editors: O Kaynak and E Alpaydin and E Oja and L Xu), Springer, Berlin, Germany, International Conference on Artificial Neural Networks and International Conference on Neural Information Processing, ICANN/ICONIP, 2003, Lecture Notes in Computer Science, Volume 2714 (inproceedings)

**Stability of ensembles of kernel machines**
In 190, pages: 111-124, NATO Science Series III: Computer and Systems Science, (Editors: Suykens, J., G. Horvath, S. Basu, C. Micchelli and J. Vandewalle), IOS press, Netherlands, 2003 (inbook)

**Real-Time Statistical Learning for Oculomotor Control and Visuomotor Coordination**
(Editors: Becker, S. , S. Thrun, K. Obermayer), Sixteenth Annual Conference on Neural Information Processing Systems (NIPS), December 2002 (poster)

**Optimized Support Vector Machines for Nonstationary Signal Classification**
*IEEE Signal Processing Letters*, 9(12):442-445, December 2002 (article)

**Learning with Kernels: Support Vector Machines, Regularization, Optimization, and Beyond**
pages: 644, Adaptive Computation and Machine Learning, MIT Press, Cambridge, MA, USA, December 2002, Parts of this book, including an introduction to kernel methods, can be downloaded here. (book)

**Surface-slant-from-texture discrimination: Effects of slant level and texture type**
*Journal of Vision*, 2(7):300, Second Annual Meeting of the Vision Sciences Society (VSS), November 2002 (poster)

**Modelling Contrast Transfer in Spatial Vision **
*Journal of Vision*, 2(10):7, Second Annual Meeting of the Vision Sciences Society (VSS), November 2002 (poster)

**Gender Classification of Human Faces**
In *Biologically Motivated Computer Vision*, pages: 1-18, (Editors: Bülthoff, H. H., S.W. Lee, T. A. Poggio and C. Wallraven), Springer, Berlin, Germany, Second International Workshop on Biologically Motivated Computer Vision (BMCV), November 2002 (inproceedings)

**Insect-Inspired Estimation of Self-Motion**
In *Biologically Motivated Computer Vision*, (2525):171-180, LNCS, (Editors: Bülthoff, H.H. , S.W. Lee, T.A. Poggio, C. Wallraven), Springer, Berlin, Germany, Second International Workshop on Biologically Motivated Computer Vision (BMCV), November 2002 (inproceedings)

**Pulse train detection and discrimination in pink noise **
*Journal of Vision*, 2(7):229, Second Annual Meeting of the Vision Sciences Society (VSS), November 2002 (poster)

**A New Discriminative Kernel from Probabilistic Models**
*Neural Computation*, 14(10):2397-2414, October 2002 (article)

**Combining sensory Information to Improve Visualization**
In *Proceedings of the Conference on Visualization ‘02 (VIS ‘02)*, pages: 571-574, (Editors: Moorhead, R. , M. Joy), IEEE, Piscataway, NJ, USA, IEEE Conference on Visualization (VIS '02), October 2002 (inproceedings)

**Sampling Techniques for Kernel Methods **
In *Advances in neural information processing systems 14 *, pages: 335-342, (Editors: TG Dietterich and S Becker and Z Ghahramani), MIT Press, Cambridge, MA, USA, 15th Annual Neural Information Processing Systems Conference (NIPS), September 2002 (inproceedings)