507 results
(View BibTeX file of all listed publications)

**Matrix Exponentiated Gradient Updates for On-line Learning and Bregman Projection**
*Journal of Machine Learning Research*, 6, pages: 995-1018, June 2005 (article)

**Measuring Statistical Dependence with Hilbert-Schmidt Norms**
(140), Max Planck Institute for Biological Cybernetics, Tübingen, Germany, June 2005 (techreport)

**Protein function prediction via graph kernels**
*Bioinformatics*, 21(Suppl. 1: ISMB 2005 Proceedings):i47-i56, June 2005 (article)

**Combining Local and Global Image Features for Object Class Recognition**
In *CVPR*, pages: 47-47, CVPR, June 2005 (inproceedings)

**Consistency of Kernel Canonical Correlation Analysis**
(942), Institute of Statistical Mathematics, 4-6-7 Minami-azabu, Minato-ku, Tokyo 106-8569 Japan, June 2005 (techreport)

**Discriminative Methods for Label Sequence Learning**
Brown University, Providence, RI, USA, May 2005 (phdthesis)

**Texture and haptic cues in slant discrimination: Reliability-based cue weighting without statistically optimal cue combination**
*Journal of the Optical Society of America A*, 22(5):801-809, May 2005 (article)

**Efficient Adaptive Sampling of the Psychometric Function by Maximizing Information Gain**
Biologische Kybernetik, Eberhard-Karls University Tübingen, Tübingen, Germany, May 2005 (diplomathesis)

**Support Vector Classification of Images with Local Features**
Biologische Kybernetik, University of Massachusetts, Amherst, May 2005 (diplomathesis)

**Motor Skill Learning for Humanoid Robots**
First Conference Undergraduate Computer Sciences and Informations Sciences (CS/IS), May 2005 (talk)

**Bayesian inference for psychometric functions**
*Journal of Vision*, 5(5):478-492, May 2005 (article)

**Classification of natural scenes using global image statistics**
47, pages: 88, 47. Tagung Experimentell Arbeitender Psychologen, April 2005 (poster)

**To apply score function difference based ICA algorithms to high-dimensional data**
In *Proceedings of the 13th European Symposium on Artificial Neural Networks (ESANN 2005)*, pages: 291-297, 13th European Symposium on Artificial Neural Networks (ESANN), April 2005 (inproceedings)

**A gene expression map of Arabidopsis thaliana development**
*Nature Genetics*, 37(5):501-506, April 2005 (article)

**Joint Regularization**
In pages: 455-460, (Editors: Verleysen, M.), d-side, Evere, Belgium, 13th European Symposium on Artificial Neural Networks (ESANN), April 2005 (inproceedings)

**Morphological characterization of molecular complexes present in the synaptic cleft**
*Structure*, 13(3):423-434, March 2005 (article)

**EEG Source Localization for Brain-Computer-Interfaces**
In *2nd International IEEE EMBS Conference on Neural Engineering*, pages: 128-131, IEEE, 2nd International IEEE EMBS Conference on Neural Engineering, March 2005 (inproceedings)

**Experimentally optimal v in support vector regression for different noise models and parameter settings**
*Neural Networks*, 18(2):205-205, March 2005 (article)

**Classification of Natural Scenes using Global Image Statistics**
8, pages: 88, 8th T{\"u}bingen Perception Conference (TWK), February 2005 (poster)

**Efficient Adaptive Sampling of the Psychometric Function by Maximizing Information Gain**
8, pages: 109, (Editors: Bülthoff, H. H., H. A. Mallot, R. Ulrich and F. A. Wichmann), 8th T{\"u}bingen Perception Conference (TWK), February 2005 (poster)

**Automatic Classification of Plankton from Digital Images**
*ASLO Aquatic Sciences Meeting*, 1, pages: 1, February 2005 (poster)

**Efficient Pattern Selection for Support Vector Classifiers and its CRM Application**
Biologische Kybernetik, Seoul National University, Seoul, Korea, February 2005 (phdthesis)

**Bayesian Inference for Psychometric Functions**
8, pages: 106, (Editors: Bülthoff, H. H., H. A. Mallot, R. Ulrich and F. A. Wichmann), 8th T{\"u}bingen Perception Conference (TWK), February 2005 (poster)

**Active Learning for Parzen Window Classifier**
In *AISTATS 2005*, pages: 49-56, (Editors: Cowell, R. , Z. Ghahramani), Tenth International Workshop on Artificial Intelligence and Statistics (AI & Statistics), January 2005 (inproceedings)

**Semi-Supervised Classification by Low Density Separation**
In *AISTATS 2005*, pages: 57-64, (Editors: Cowell, R. , Z. Ghahramani), Tenth International Workshop on Artificial Intelligence and Statistics (AI & Statistics), January 2005 (inproceedings)

**Automatic In Situ Identification of Plankton**
In *WACV*, pages: 79 , WACV, January 2005 (inproceedings)

**Kernel Constrained Covariance for Dependence Measurement**
In *Proceedings of the 10th International Workshop on Artificial Intelligence and Statistics*, pages: 112-119, (Editors: R Cowell, R and Z Ghahramani), AISTATS, January 2005 (inproceedings)

**Hilbertian Metrics and Positive Definite Kernels on Probability Measures**
In *AISTATS 2005*, pages: 136-143, (Editors: Cowell, R. , Z. Ghahramani), Tenth International Workshop on Artificial Intelligence and Statistics (AI & Statistics), January 2005 (inproceedings)

**Kernel Constrained Covariance for Dependence Measurement**
AISTATS, January 2005 (talk)

**Semi-supervised protein classification using cluster kernels**
*Bioinformatics*, 21(15):3241-3247, 2005 (article)

**Kernels: Regularization and Optimization**
Biologische Kybernetik, The Australian National University, Canberra, Australia, 2005 (phdthesis)

**Invariance of Neighborhood Relation under Input Space to Feature Space Mapping**
*Pattern Recognition Letters*, 26(6):707-718, 2005 (article)

**Intrinsic Dimensionality Estimation of Submanifolds in Euclidean space**
In *Proceedings of the 22nd International Conference on Machine Learning*, pages: 289 , (Editors: De Raedt, L. , S. Wrobel), ICML Bonn, 2005 (inproceedings)

**Large Scale Genomic Sequence SVM Classifiers**
In *Proceedings of the 22nd International Conference on Machine Learning*, pages: 849-856, (Editors: L De Raedt and S Wrobel), ACM, New York, NY, USA, ICML, 2005 (inproceedings)

**Joint Kernel Maps**
In *Proceedings of the 8th InternationalWork-Conference on Artificial Neural Networks*, LNCS 3512, pages: 176-191, (Editors: J Cabestany and A Prieto and F Sandoval), Springer, Berlin Heidelberg, Germany, IWANN, 2005 (inproceedings)

**Analysis of Some Methods for Reduced Rank Gaussian Process Regression**
In *Switching and Learning in Feedback Systems*, pages: 98-127, (Editors: Murray Smith, R. , R. Shorten), Springer, Berlin, Germany, European Summer School on Multi-Agent Control, 2005 (inproceedings)

**Approximate Inference for Robust Gaussian Process Regression**
(136), Max Planck Institute for Biological Cybernetics, Tübingen, Germany, 2005 (techreport)

**Global image statistics of natural scenes**
*Bioinspired Information Processing*, 08, pages: 1, 2005 (poster)

**Graph Kernels for Chemical Informatics**
*Neural Networks*, 18(8):1093-1110, 2005 (article)

**Extended Gaussianization Method for Blind Separation of Post-Nonlinear Mixtures**
*Neural Computation*, 17(2):425-452, 2005 (article)

**Theory of Classification: A Survey of Some Recent Advances**
*ESAIM: Probability and Statistics*, 9, pages: 323 , 2005 (article)

**From Graphs to Manifolds - Weak and Strong Pointwise Consistency of Graph Laplacians**
In *Proceedings of the 18th Conference on Learning Theory (COLT)*, pages: 470-485, Conference on Learning Theory, 2005, Student Paper Award (inproceedings)

**Propagating Distributions on a Hypergraph by Dual Information Regularization**
In *Proceedings of the 22nd International Conference on Machine Learning*, pages: 921 , (Editors: De Raedt, L. , S. Wrobel), ICML Bonn, 2005 (inproceedings)

**Support Vector Machines and Kernel Algorithms**
In *Encyclopedia of Biostatistics (2nd edition), Vol. 8*, 8, pages: 5328-5335, (Editors: P Armitage and T Colton), John Wiley & Sons, NY USA, 2005 (inbook)

**Moment Inequalities for Functions of Independent Random Variables**
*To appear in Annals of Probability*, 33, pages: 514-560, 2005 (article)

**A Brain Computer Interface with Online Feedback based on Magnetoencephalography**
In *Proceedings of the 22nd International Conference on Machine Learning*, pages: 465-472, (Editors: L De Raedt and S Wrobel), ACM, New York, NY, USA, ICML, 2005 (inproceedings)

**Healing the Relevance Vector Machine through Augmentation**
In *Proceedings of the 22nd International Conference on Machine Learning*, pages: 689 , (Editors: De Raedt, L. , S. Wrobel), ICML, 2005 (inproceedings)

**Visual perception
I: Basic principles**
In *Handbook of Cognition*, pages: 3-47, (Editors: Lamberts, K. , R. Goldstone), Sage, London, 2005 (inbook)

**Maximum-Margin Feature Combination
for Detection and Categorization**
Max Planck Institute for Biological Cybernetics, Tübingen, Germany, 2005 (techreport)

**Kernel-Methods, Similarity, and Exemplar Theories of Categorization**
*ASIC*, 4, 2005 (poster)