Publications

Empirical Inference Technical Report Approximate Inference for Robust Gaussian Process Regression Kuss, M., Pfingsten, T., Csato, L., Rasmussen, C. (136), Max Planck Institute for Biological Cybernetics, Tübingen, Germany, 2005 PDF BibTeX

Autonomous Motion Empirical Inference Conference Paper Comparative experiments on task space control with redundancy resolution Nakanishi, J., Cory, R., Mistry, M., Peters, J., Schaal, S. In Proceedings of the 2005 IEEE/RSJ International Conference on Intelligent Robots and Systems, 3901-3908, Edmonton, Alberta, Canada, Aug. 2-6, IROS, 2005, clmc DOI URL BibTeX

Empirical Inference Conference Paper From Graphs to Manifolds - Weak and Strong Pointwise Consistency of Graph Laplacians Hein, M., Audibert, J., von Luxburg, U. In Proceedings of the 18th Conference on Learning Theory (COLT), 470-485, Conference on Learning Theory, 2005, Student Paper Award PDF BibTeX

Empirical Inference Poster Global image statistics of natural scenes Drewes, J., Wichmann, F., Gegenfurtner, K. Bioinspired Information Processing, 08:1, 2005 BibTeX

Empirical Inference Conference Paper Healing the Relevance Vector Machine through Augmentation Rasmussen, C., Candela, J. In Proceedings of the 22nd International Conference on Machine Learning, 689 , (Editors: De Raedt, L. , S. Wrobel), ICML, 2005 PDF PostScript BibTeX

Empirical Inference Conference Paper Implicit Surface Modelling as an Eigenvalue Problem Walder, C., Chapelle, O., Schölkopf, B. In Proceedings of the 22nd International Conference on Machine Learning, 937-944, (Editors: L De Raedt and S Wrobel), ACM, New York, NY, USA, ICML, 2005 PDF BibTeX

Empirical Inference Conference Paper Intrinsic Dimensionality Estimation of Submanifolds in Euclidean space Hein, M., Audibert, Y. In Proceedings of the 22nd International Conference on Machine Learning, 289 , (Editors: De Raedt, L. , S. Wrobel), ICML Bonn, 2005 PDF BibTeX

Empirical Inference Article Invariance of Neighborhood Relation under Input Space to Feature Space Mapping Shin, H., Cho, S. Pattern Recognition Letters, 26(6):707-718, 2005 PDF PDF BibTeX

Empirical Inference Conference Paper Joint Kernel Maps Weston, J., Schölkopf, B., Bousquet, O. In Proceedings of the 8th International Work-Conference on Artificial Neural Networks (Computational Intelligence and Bioinspired System), Proceedings of the 8th InternationalWork-Conference on Artificial Neural Networks, LNCS 3512:176-191, (Editors: J Cabestany and A Prieto and F Sandoval), Springer, Berlin Heidelberg, Germany, IWANN, 2005 PostScript DOI BibTeX

Empirical Inference Poster Kernel-Methods, Similarity, and Exemplar Theories of Categorization Jäkel, F., Wichmann, F. ASIC, 4, 2005 Web BibTeX

Empirical Inference Conference Paper Large Scale Genomic Sequence SVM Classifiers Sonnenburg, S., Rätsch, G., Schölkopf, B. In Proceedings of the 22nd International Conference on Machine Learning, Proceedings of the 22nd International Conference on Machine Learning, 849-856, (Editors: L De Raedt and S Wrobel), ACM, New York, NY, USA, ICML, 2005 PDF BibTeX

Empirical Inference Conference Paper Long Term Prediction of Product Quality in a Glass Manufacturing Process Using a Kernel Based Approach Jung, T., Herrera, L., Schölkopf, B. In Proceedings of the 8th International Work-Conference on Artificial Neural Networks (Computational Intelligence and Bioinspired Systems), Proceedings of the 8th International Work-Conferenceon Artificial Neural Networks (Computational Intelligence and Bioinspired Systems), Lecture Notes in Computer Science, Vol. 3512, LNCS 3512:960-967, (Editors: J Cabestany and A Prieto and F Sandoval), Springer, Berlin Heidelberg, Germany, IWANN, 2005 DOI BibTeX

Empirical Inference Technical Report Maximum-Margin Feature Combination for Detection and Categorization BakIr, G., Wu, M., Eichhorn, J. Max Planck Institute for Biological Cybernetics, Tübingen, Germany, 2005 PDF BibTeX

Empirical Inference Article Moment Inequalities for Functions of Independent Random Variables Boucheron, S., Bousquet, O., Lugosi, G., Massart, P. To appear in Annals of Probability, 33:514-560, 2005 PDF BibTeX

Autonomous Motion Empirical Inference Conference Paper Natural Actor-Critic Peters, J., Vijayakumar, S., Schaal, S. In Proceedings of the 16th European Conference on Machine Learning, 3720:280-291, (Editors: Gama, J.;Camacho, R.;Brazdil, P.;Jorge, A.;Torgo, L.), Springer, ECML, 2005, clmc DOI URL BibTeX

Empirical Inference Conference Paper Object correspondence as a machine learning problem Schölkopf, B., Steinke, F., Blanz, V. In Proceedings of the 22nd International Conference on Machine Learning, 777-784, (Editors: L De Raedt and S Wrobel), ACM, New York, NY, USA, ICML, 2005 PDF BibTeX

Empirical Inference Conference Paper Propagating Distributions on a Hypergraph by Dual Information Regularization Tsuda, K. In Proceedings of the 22nd International Conference on Machine Learning, 921 , (Editors: De Raedt, L. , S. Wrobel), ICML Bonn, 2005 BibTeX

Empirical Inference Poster Rapid animal detection in natural scenes: critical features are local Wichmann, F., Rosas, P., Gegenfurtner, K. Experimentelle Psychologie. Beitr{\"a}ge zur 47. Tagung experimentell arbeitender Psychologen, 47:225, 2005 BibTeX

Empirical Inference Article Robust EEG Channel Selection Across Subjects for Brain Computer Interfaces Schröder, M., Lal, T., Hinterberger, T., Bogdan, M., Hill, J., Birbaumer, N., Rosenstiel, W., Schölkopf, B. EURASIP Journal on Applied Signal Processing, 2005(19, Special Issue: Trends in Brain Computer Interfaces):3103-3112, (Editors: Vesin, J. M., T. Ebrahimi), 2005 Web DOI BibTeX

Empirical Inference Book Chapter Support Vector Machines and Kernel Algorithms Schölkopf, B., Smola, A. In Encyclopedia of Biostatistics (2nd edition), Vol. 8, 8:5328-5335, (Editors: P Armitage and T Colton), John Wiley & Sons, NY USA, 2005 BibTeX

Empirical Inference Poster The human brain as large margin classifier Graf, A., Wichmann, F., Bülthoff, H., Schölkopf, B. Proceedings of the Computational & Systems Neuroscience Meeting (COSYNE), 2:1, 2005 BibTeX

Empirical Inference Article Theory of Classification: A Survey of Some Recent Advances Boucheron, S., Bousquet, O., Lugosi, G. ESAIM: Probability and Statistics, 9:323 , 2005 PDF DOI BibTeX

Empirical Inference Technical Report Towards a Statistical Theory of Clustering. Presented at the PASCAL workshop on clustering, London von Luxburg, U., Ben-David, S. Presented at the PASCAL workshop on clustering, London, 2005 PDF BibTeX

Empirical Inference Book Chapter Visual perception I: Basic principles Wagemans, J., Wichmann, F., de Beeck, H. In Handbook of Cognition, 3-47, (Editors: Lamberts, K. , R. Goldstone), Sage, London, 2005 BibTeX

Empirical Inference Conference Paper Attentional Modulation of Auditory Event-Related Potentials in a Brain-Computer Interface Hill, J., Lal, T., Bierig, K., Birbaumer, N., Schölkopf, B. In Proceedings of the 2004 IEEE International Workshop on Biomedical Circuits and Systems (BioCAS04), BioCAS04, (S3/5/INV- S3/17-20)4, IEEE Computer Society, Los Alamitos, CA, USA, 2004 IEEE International Workshop on Biomedical Circuits and Systems, December 2004 PDF Web DOI BibTeX

Empirical Inference Article On the representation, learning and transfer of spatio-temporal movement characteristics Ilg, W., Bakir, G., Mezger, J., Giese, M. International Journal of Humanoid Robotics, 1(4):613-636, December 2004 BibTeX

Empirical Inference Article Efficient face detection by a cascaded support-vector machine expansion Romdhani, S., Torr, P., Schölkopf, B., Blake, A. Proceedings of The Royal Society of London A, 460(2501):3283-3297, A, November 2004 PDF DOI BibTeX

Empirical Inference Article Insect-inspired estimation of egomotion Franz, M., Chahl, J., Krapp, H. Neural Computation, 16(11):2245-2260, November 2004 PDF PostScript Web DOI BibTeX

Empirical Inference Technical Report Joint Kernel Maps Weston, J., Schölkopf, B., Bousquet, O., Mann, .., Noble, W. (131), Max-Planck-Institute for Biological Cybernetics, Tübingen, November 2004 PDF BibTeX

Empirical Inference Talk Discrete vs. Continuous: Two Sides of Machine Learning Zhou, D. October 2004 PDF BibTeX

Empirical Inference Talk How to learn from very few examples? Zhou, D. October 2004 PDF BibTeX

Empirical Inference Poster S-cones contribute to flicker brightness in human vision Wehrhahn, C., Hill, N., Dillenburger, B. 34(174.12), 34th Annual Meeting of the Society for Neuroscience (Neuroscience 2004), October 2004 Web BibTeX

Empirical Inference Proceedings Advanced Lectures on Machine Learning Bousquet, O., von Luxburg, U., Rätsch, G. ML Summer Schools 2003, LNAI 3176:240, Springer, Berlin, Germany, ML Summer Schools, September 2004 Web BibTeX

Empirical Inference Talk Grundlagen von Support Vector Maschinen und Anwendungen in der Bildverarbeitung Eichhorn, J. September 2004 PDF BibTeX

Empirical Inference Conference Paper Learning Depth From Stereo Sinz, F., Candela, J., BakIr, G., Rasmussen, C., Franz, M. In Pattern Recognition: 26th DAGM Symposium, 26th DAGM Symposium, 245-252, LNCS 3175, (Editors: Rasmussen, C. E., H. H. Bülthoff, B. Schölkopf, M. A. Giese), Springer, Berlin, Germany, 26th DAGM Symposium, September 2004 PDF PostScript Web BibTeX

Empirical Inference Conference Paper Modelling Spikes with Mixtures of Factor Analysers Görür, D., Rasmussen, C., Tolias, A., Sinz, F., Logothetis, N. In Pattern Recognition: Proceedings of the 26th DAGM Symposium, Pattern Recognition, 391-398, LNCS 3175, (Editors: Rasmussen, C. E. , H.H. Bülthoff, B. Schölkopf, M.A. Giese), Springer, Berlin, Germany, 26th DAGM Symposium, September 2004 PDF PDF DOI BibTeX

Empirical Inference Book Kernel Methods in Computational Biology Schölkopf, B., Tsuda, K., Vert, J. 410, Computational Molecular Biology, MIT Press, Cambridge, MA, USA, August 2004 Web BibTeX

Empirical Inference Article Learning kernels from biological networks by maximizing entropy Tsuda, K., Noble, W. Bioinformatics, 20(Suppl. 1):i326-i333, August 2004 PDF Web BibTeX

Empirical Inference Conference Paper Learning to Find Graph Pre-Images BakIr, G., Zien, A., Tsuda, K. In Pattern Recognition: Proceedings of the 26th DAGM Symposium, Pattern Recognition, 253-261, (Editors: Rasmussen, C. E., H. H. Bülthoff, B. Schölkopf, M. A. Giese), Springer, Berlin, Germany, 26th DAGM Symposium, August 2004 PostScript PDF DOI BibTeX

Empirical Inference Article Masking effect produced by Mach bands on the detection of narrow bars of random polarity Henning, G., Hoddinott, K., Wilson-Smith, Z., Hill, N. Journal of the Optical Society of America, 21(8):1379-1387, A, August 2004 BibTeX

Empirical Inference Proceedings Pattern Recognition: 26th DAGM Symposium, LNCS, Vol. 3175 Rasmussen, C., Bülthoff, H., Giese, M., Schölkopf, B. Proceedings of the 26th Pattern Recognition Symposium (DAGM‘04), 581, Springer, Berlin, Germany, 26th Pattern Recognition Symposium, August 2004 Web DOI BibTeX

Empirical Inference Technical Report Semi-Supervised Induction Yu, K., Tresp, V., Zhou, D. (141), Max Planck Institute for Biological Cybernetics, Tuebingen, Germany, August 2004 PDF PDF BibTeX

Empirical Inference Conference Paper Exponential Families for Conditional Random Fields Altun, Y., Smola, A., Hofmann, T. In Proceedings of the 20th Annual Conference on Uncertainty in Artificial Intelligence (UAI 2004), 2-9, (Editors: Chickering, D.M. , J.Y. Halpern), Morgan Kaufmann, San Francisco, CA, USA, 20th Annual Conference on Uncertainty in Artificial Intelligence (UAI 2004), July 2004 PDF Web BibTeX

Empirical Inference Technical Report Hilbertian Metrics and Positive Definite Kernels on Probability Measures Hein, M., Bousquet, O. (126), Max Planck Institute for Biological Cybernetics, Tübingen, Germany, July 2004 PDF BibTeX

Empirical Inference Technical Report Kernels, Associated Structures and Generalizations Hein, M., Bousquet, O. (127), Max Planck Institute for Biological Cybernetics, Tübingen, Germany, July 2004 PDF BibTeX

Empirical Inference Technical Report Object categorization with SVM: kernels for local features Eichhorn, J., Chapelle, O. (137), Max Planck Institute for Biological Cybernetics, Tübingen, Germany, July 2004 PDF BibTeX

Empirical Inference Talk Riemannian Geometry on Graphs and its Application to Ranking and Classification Zhou, D. June 2004 PDF BibTeX

Empirical Inference Proceedings Advances in Neural Information Processing Systems 16: Proceedings of the 2003 Conference Thrun, S., Saul, L., Schölkopf, B. Proceedings of the Seventeenth Annual Conference on Neural Information Processing Systems (NIPS 2003), 1621, MIT Press, Cambridge, MA, USA, 17th Annual Conference on Neural Information Processing Systems (NIPS 2003), June 2004 Web BibTeX

Empirical Inference Article Distance-Based Classification with Lipschitz Functions von Luxburg, U., Bousquet, O. Journal of Machine Learning Research, 5:669-695, June 2004 PDF PostScript PDF BibTeX

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