291 results
(View BibTeX file of all listed publications)

**Some observations on the effects of slant and texture type on slant-from-texture**
*Vision Research*, 44(13):1511-1535, 2004 (article)

**A kernel view of the dimensionality reduction of manifolds**
In *Proceedings of the Twenty-First International Conference on Machine Learning*, pages: 369-376, (Editors: CE Brodley), ACM, New York, NY, USA, ICML, 2004, also appeared as MPI-TR 110 (inproceedings)

**Protein Functional Class Prediction with a Combined Graph**
In *Proceedings of the Korean Data Mining Conference*, pages: 200-219, Proceedings of the Korean Data Mining Conference, 2004 (inproceedings)

**Learning from Labeled and Unlabeled Data Using Random Walks**
In *Pattern Recognition, Proceedings of the 26th DAGM Symposium*, pages: 237-244, (Editors: Rasmussen, C.E., H.H. Bülthoff, M.A. Giese and B. Schölkopf), Pattern Recognition, Proceedings of the 26th DAGM Symposium, 2004 (inproceedings)

**Learning from Labeled and Unlabeled Data Using Random Walks**
Max Planck Institute for Biological Cybernetics, 2004 (techreport)

**Masking by plaid patterns revisited**
*Experimentelle Psychologie. Beitr{\"a}ge zur 46. Tagung experimentell arbeitender Psychologen*, 46, pages: 285, 2004 (poster)

**Protein homology detection using string alignment kernels**
*Bioinformatics*, 20(11):1682-1689, 2004 (article)

**Minimizing the Cross Validation Error to Mix Kernel Matrices of Heterogeneous Biological Data**
*Neural Processing Letters*, 19, pages: 63-72, 2004 (article)

**A Tutorial on Support Vector Regression**
*Statistics and Computing*, 14(3):199-222, 2004 (article)

**Multivariate Regression via Stiefel Manifold Constraints**
In *Lecture Notes in Computer Science, Vol. 3175*, pages: 262-269, (Editors: CE Rasmussen and HH Bülthoff and B Schölkopf and MA Giese), Springer, Berlin, Germany, Pattern Recognition, Proceedings of the 26th DAGM Symposium, 2004 (inproceedings)

**Implicit estimation of Wiener series**
In *Machine Learning for Signal Processing XIV, Proc. 2004 IEEE Signal Processing Society Workshop*, pages: 735-744, (Editors: A Barros and J Principe and J Larsen and T Adali and S Douglas), IEEE, New York, Machine Learning for Signal Processing XIV, Proc. IEEE Signal Processing Society Workshop, 2004 (inproceedings)

**Hilbertian Metrics on Probability Measures and their Application in SVM’s**
In *Pattern Recognition, Proceedings of th 26th DAGM Symposium*, 3175, pages: 270-277, Lecture Notes in Computer Science, (Editors: Rasmussen, C. E., H. H. Bülthoff, M. Giese and B. Schölkopf), Pattern Recognition, Proceedings of th 26th DAGM Symposium, 2004 (inproceedings)

**Gasussian process model based predictive control**
In *Proceedings of the ACC 2004*, pages: 2214-2219, Proceedings of the ACC, 2004 (inproceedings)

**A New Variational Framework for Rigid-Body Alignment**
In *Joint IAPR International Workshops on Syntactical and Structural Pattern Recognition (SSPR 2004) and Statistical Pattern Recognition (SPR 2004)*, pages: 171-179, (Editors: Fred, A.,T. Caelli, R.P.W. Duin, A. Campilho and D. de Ridder), Joint IAPR International Workshops on Syntactical and Structural Pattern Recognition (SSPR) and Statistical Pattern Recognition (SPR), 2004 (inproceedings)

**Protein Classification via Kernel Matrix Completion**
In pages: 261-274, (Editors: Schoelkopf, B., K. Tsuda and J.P. Vert), MIT Press, Cambridge, MA; USA, 2004 (inbook)

**Behaviour and Convergence of the Constrained Covariance**
(130), MPI for Biological Cybernetics, 2004 (techreport)

**Early visual processing—data, theory, models**
*Experimentelle Psychologie. Beitr{\"a}ge zur 46. Tagung experimentell arbeitender Psychologen*, 46, pages: 24, 2004 (poster)

**Statistical Learning with Similarity and Dissimilarity Functions**
pages: 1-166, Technische Universität Berlin, Germany, Technische Universität Berlin, Germany, 2004 (phdthesis)

**Statistische Lerntheorie und Empirische Inferenz**
*Jahrbuch der Max-Planck-Gesellschaft*, 2004, pages: 377-382, 2004 (misc)

**Practical Method for Blind Inversion of Wiener Systems**
In *Proceedings of International Joint Conference on Neural Networks (IJCNN 2004)*, pages: 2163-2168, International Joint Conference on Neural Networks (IJCNN), 2004, Volume 3 (inproceedings)

**Bayesian analysis of the Scatterometer Wind Retrieval Inverse Problem: Some New Approaches**
*Journal of the Royal Statistical Society B*, 66, pages: 1-17, 3, 2004 (article)

**Feature Selection for Support Vector Machines Using Genetic Algorithms**
*International Journal on Artificial Intelligence Tools (Special Issue on Selected Papers from the 15th IEEE International Conference on Tools with Artificial Intelligence 2003)*, 13(4):791-800, 2004 (article)

**Semi-supervised kernel regression using whitened function classes**
In *Pattern Recognition, Proceedings of the 26th DAGM Symposium, Lecture Notes in Computer Science, Vol. 3175*, LNCS 3175, pages: 18-26, (Editors: CE Rasmussen and HH Bülthoff and MA Giese and B Schölkopf), Springer, Berlin, Gerrmany, 26th DAGM Symposium, 2004 (inproceedings)

**Maximal Margin Classification for Metric Spaces**
In *Learning Theory and Kernel Machines*, pages: 72-86, (Editors: Schölkopf, B. and Warmuth, M. K.), Springer, Heidelberg, Germany, 16. Annual Conference on Computational Learning Theory / COLT Kernel, 2004 (inproceedings)

**On the Convergence of Spectral Clustering on Random Samples: The Normalized Case**
In *Proceedings of the 17th Annual Conference on Learning Theory*, pages: 457-471, Proceedings of the 17th Annual Conference on Learning Theory, 2004 (inproceedings)

**Introduction to Statistical Learning Theory**
In Lecture Notes in Artificial Intelligence 3176, pages: 169-207, (Editors: Bousquet, O., U. von Luxburg and G. Rätsch), Springer, Heidelberg, Germany, 2004 (inbook)

**A Primer on Kernel Methods**
In *Kernel Methods in Computational Biology*, pages: 35-70, (Editors: B Schölkopf and K Tsuda and JP Vert), MIT Press, Cambridge, MA, USA, 2004 (inbook)

**Confidence Sets for Ratios: A Purely Geometric Approach To Fieller’s Theorem**
(133), Max Planck Institute for Biological Cybernetics, 2004 (techreport)

**Transductive Inference with Graphs**
Max Planck Institute for Biological Cybernetics, 2004, See the improved version Regularization on Discrete Spaces. (techreport)

**Classification and Feature Extraction in Man and Machine**
Biologische Kybernetik, University of Tübingen, Germany, 2004, online publication (phdthesis)

**Optical Imaging of the Spatiotemporal Dynamics of Cerebral Blood Flow and Oxidative Metabolism in the Rat Barrel Cortex**
*European Journal of Neuroscience*, 20(10):2664-2670, 2004 (article)

**Kompetenzerwerb für Informationssysteme - Einfluss des Lernprozesses auf die Interaktion mit Fahrerinformationssystemen. Veröffentlichter Abschlussbericht (Förderkennzeichen BaSt FE 82.196/2001).**
Interdisziplinäres Zentrum für Verkehrswissenschaften (IZVW), Würzburg, 2004 (techreport)

**Phenotypic Characterization of Human Chondrocyte Cell Line C-20/A4: A Comparison between Monolayer and Alginate Suspension Culture**
*Cells Tissues Organs*, 178(2):65-77, 2004 (article)

**Kernel Methods and their Potential Use in Signal Processing**
*IEEE Signal Processing Magazine*, (Special issue on Signal Processing for Mining), 2004 (article) Accepted

**Concentration Inequalities**
In Lecture Notes in Artificial Intelligence 3176, pages: 208-240, (Editors: Bousquet, O., U. von Luxburg and G. Rätsch), Springer, Heidelberg, Germany, 2004 (inbook)

**Kernels for graphs**
In pages: 155-170, (Editors: Schoelkopf, B., K. Tsuda and J.P. Vert), MIT Press, Cambridge, MA; USA, 2004 (inbook)

**A primer on molecular biology**
In pages: 3-34, (Editors: Schoelkopf, B., K. Tsuda and J. P. Vert), MIT Press, Cambridge, MA, USA, 2004 (inbook)

**Implicit Wiener series for capturing higher-order interactions in
images**
*Sensory coding and the natural environment*, (Editors: Olshausen, B.A. and M. Lewicki), 2004 (poster)

**Classification and Memory Behaviour of Man Revisited by Machine**
*CSHL Meeting on Computational & Systems Neuroscience (COSYNE)*, 2004 (poster)

Bousquet, O.
**Advanced Statistical Learning Theory**
Machine Learning Summer School, 2004 (talk)

**Learning Movement Primitives**
In *11th International Symposium on Robotics Research (ISRR2003)*, pages: 561-572, (Editors: Dario, P. and Chatila, R.), Springer, ISRR, 2004, clmc (inproceedings)