Director of the Department

Prof. Dr. Bernhard Schölkopf
Prof. Dr. Bernhard Schölkopf
bernhard.schoelkopf[at]tuebingen.mpg.de


Secretary: Sabrina Rehbaum
Phone: +49 7071 601-551
Fax: +49 7071 601-552
sabrina.rehbaum[at]tuebingen.mpg.de
 

More about the Department

Scientific Awards

Since the foundation of our department in 2002, we have received the following awards.

 

Publication List Department Schölkopf

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2004

Conference papers (37):

Sinz F, Candela JQ, BakIr G, Rasmussen CE and Franz M (September-2004) Learning Depth From Stereo In: Pattern Recognition, , 26th Annual Symposium of the German Association for Pattern Recognition (DAGM 2004), Springer, Berlin, Germany, 245-252, Series: Lecture Notes in Computer Science ; 3175.
Zhou D and Schölkopf B (September-2004) Learning from Labeled and Unlabeled Data Using Random Walks In: Pattern Recognition, , 26th Annual Symposium of the German Association for Pattern Recognition (DAGM 2004), Springer, Berlin, Germany, 237-244, Series: Lecture Notes in Computer Science ; 3175.
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BakIr G, Zien A and Tsuda K (September-2004) Learning to Find Graph Pre-Images In: Pattern Recognition, , 26th Annual Symposium of the German Association for Pattern Recognition (DAGM 2004), Springer, Berlin, Germany, 253-261, Series: Lecture Notes in Computer Science ; 3175.
Görür D, Rasmussen CE, Tolias AS, Sinz F and Logothetis NK (September-2004) Modelling Spikes with Mixtures of Factor Analysers In: Pattern Recognition, , 26th Annual Symposium of the German Association for Pattern Recognition (DAGM 2004), Springer, Berlin, Germany, 391-398, Series: Lecture Notes in Computer Science ; 3175.
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BakIr G, Gretton A, Franz M and Schölkopf B (September-2004) Multivariate Regression via Stiefel Manifold Constraints In: Pattern Recognition, , 26th Annual Symposium of the German Association for Pattern Recognition (DAGM 2004), Springer, Berlin, Germany, 262-269, Series: Lecture Notes in Computer Science ; 3175.
Franz MO, Kwon Y, Rasmussen CE and Schölkopf B (September-2004) Semi-supervised Kernel Regression Using Whitened Function Classes In: Pattern Recognition, , 26th Annual Symposium of the German Association for Pattern Recognition (DAGM 2004), Springer, Berlin, Germany, 18-26, Series: Lecture Notes in Computer Science ; 3175.
Kato T, Tsuda K, Tomii K and Asai K (August-2004) A New Variational Framework for Rigid-Body Alignment In: Structural, Syntactic, and Statistical Pattern Recognition, , Joint IAPR International Workshops on Syntactical and Structural Pattern Recognition (SSPR 2004) and Statistical Pattern Recognition (SPR 2004), Springer, Berlin, Germany, 171-179, Series: Lecture Notes in Computer Science ; 3138.
Tsuda K and Noble WS (August-2004) Learning kernels from biological networks by maximizing entropy, Twelfth International Conference on Intelligent Systems for Molecular Biology (ISMB 2004), Third European Conference on Computational Biology (ECCB 2004), Oxford University Press, Oxford, UK, Bioinformatics, 20(Supplement 1), i326-i333.
Ham J, Lee DD, Mika S and Schölkopf B (July-2004) A kernel view of the dimensionality reduction of manifolds, Twenty-first International Conference on Machine Learning (ICML 2004), ACM Press, New York, NY, USA, 369-376.
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Zhou D and Schölkopf B (July-2004) A Regularization Framework for Learning from Graph Data, ICML 2004 Workshop on Statistical Relational Learning and Its Connections to Other Fields (SRL 2004), 132-137.
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Altun Y, Smola AJ and Hofmann T (July-2004) Exponential Families for Conditional Random Fields, 20th Annual Conference on Uncertainty in Artificial Intelligence (UAI 2004), Morgan Kaufmann, San Francisco, CA, USA, 2-9.
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Kocijan J, Murray-Smith R, Rasmussen CE and Girard A (July-2004) Gasussian process model based predictive control, American Control Conference (ACC 2004), IEEE Service Center, Piscataway, NJ, USA, 2214-2219.
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Altun Y, Hofmann T and Smola AJ (July-2004) Gaussian Process Classification for Segmenting and Annotating Sequences, Twenty-first International Conference on Machine Learning (ICML 2004), ACM Press, New York, USA, 4.
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von Luxburg U, Bousquet O and Belkin M (July-2004) On the Convergence of Spectral Clustering on Random Samples: The Normalized Case In: Learning Theory, , 17th Annual Conference on Learning Theory (COLT 2004), Springer, Berlin, Germany, 457-471, Series: Lecture Notes in Computer Science ; 3120.
Zwald L, Bousquet O and Blanchard G (July-2004) Statistical Properties of Kernel Principal Component Analysis In: Learning Theory, , 17th Annual Conference on Learning Theory (COLT 2004), Springer, Berlin, Germany, 594-608, Series: Lecture Notes in Computer Science ; 3120.
Basilico J and Hofmann T (July-2004) Unifying collaborative and content-based filtering, Twenty-first International Conference on Machine Learning (ICML 2004), ACM Press, New York, USA, 9.
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Rasmussen CE and Kuss M (June-2004) Gaussian Processes in Reinforcement Learning In: Advances in Neural Information Processing Systems 16, , Seventeenth Annual Conference on Neural Information Processing Systems (NIPS 2003), MIT Press, Cambridge, MA, USA, 751-759.
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Tsuda K and Rätsch G (June-2004) Image Construction by Linear Programming In: Advances in Neural Information Processing Systems 16, , Seventeenth Annual Conference on Neural Information Processing Systems (NIPS 2003), MIT Press, Cambridge, MA, USA, 57-64.
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Graf ABA and Wichmann FA (June-2004) Insights from Machine Learning Applied to Human Visual Classification In: Advances in Neural Information Processing Systems 16, , Seventeenth Annual Conference on Neural Information Processing Systems (NIPS 2003), MIT Press, Cambridge, MA, USA, 905-912.
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Bakir GH, Weston J and Schölkopf B (June-2004) Learning to Find Pre-Images In: Advances in Neural Information Processing Systems 16, , Seventeenth Annual Conference on Neural Information Processing Systems (NIPS 2003), MIT Press, Cambridge, MA, USA, 449-456.
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Zhou D, Bousquet O, Lal TN, Weston J and Schölkopf B (June-2004) Learning with Local and Global Consistency In: Advances in Neural Information Processing Systems 16, , Seventeenth Annual Conference on Neural Information Processing Systems (NIPS 2003), MIT Press, Cambridge, MA, USA, 321-328.
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Bousquet O, Chapelle O and Hein M (June-2004) Measure Based Regularization In: Advances in Neural Information Processing Systems 16, , Seventeenth Annual Conference on Neural Information Processing Systems (NIPS 2003), MIT Press, Cambridge, MA, USA, 1221-1228.
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Audibert J-Y and Bousquet O (June-2004) PAC-Bayesian Generic Chaining In: Advances in Neural Information Processing Systems 16, , Seventeenth Annual Conference on Neural Information Processing Systems (NIPS 2003), MIT Press, Cambridge, MA, USA, 1125-1132.
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Eichhorn J, Tolias AS, Zien A, Kuss M, Rasmussen CE, Weston J, Logothetis NK and Schölkopf B (June-2004) Prediction on Spike Data Using Kernel Algorithms In: Advances in Neural Information Processing Systems 16, , Seventeenth Annual Conference on Neural Information Processing Systems (NIPS 2003), MIT Press, Cambridge, MA, USA, 1367-1374.
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Zhou D, Weston J, Gretton A, Bousquet O and Schölkopf B (June-2004) Ranking on Data Manifolds In: Advances in neural information processing systems 16, , Seventeenth Annual Conference on Neural Information Processing Systems (NIPS 2003), MIT Press, Cambridge, MA, USA, 169-176.
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Weston J, Leslie C, Zhou D, Elisseeff A and Noble WS (June-2004) Semi-Supervised Protein Classification using Cluster Kernels In: Advances in Neural Information Processing Systems 16, , Seventeenth Annual Conference on Neural Information Processing Systems (NIPS 2003), MIT Press, Cambridge, MA, USA, 595-602.
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Snelson E, Rasmussen CE and Ghahramani Z (June-2004) Warped Gaussian Processes In: Advances in Neural Information Processing Systems 16, , Seventeenth Annual Conference on Neural Information Processing Systems (NIPS 2003), MIT Press, Cambridge, MA, USA, 337-344.
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Kim KI, Franz M and Schölkopf B (May-2004) Kernel Hebbian Algorithm for single-frame super-resolution, ECCV 2004 Workshop on Statistical Learning in Computer Vision (SLCV 2004), 135-149.
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Dubey A, Hwang S, Rangel C, Rasmussen CE, Ghahramani Z and Wild DL (January-2004) Clustering Protein Sequence and Structure Space with Infinite Gaussian Mixture Models, Pacific Symposium on Biocomputing (PSB 2004), World Scientific, Singapore, 399-410.
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Schölkopf B (2004) Kernel Methods for Manifold Estimation In: COMPSTAT 2004: Proceedings in Computational Statistics, , 16th Symposium on Computational Statistics, Physica, Heidelberg, Germany, 441-452.

Contributions to books (6):

Vert JP, Tsuda K and Schölkopf B: A Primer on Kernel Methods, 35-70. In: Kernel Methods in Computational Biology, (Ed) B. Schölkopf and J.P. Vert, MIT Press, Cambridge, MA, USA, (August-2004).
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Zien A: A Primer on Molecular Biology, 3-34. In: Kernel Methods in Computational Biology, (Ed) B. Schölkopf, MIT Press, Cambridge, MA, USA, (August-2004).
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Kashima H, Tsuda K and Inokuchi A: Kernels for graphs, 155-170. In: Kernel Methods in Computational Biology, (Ed) B. Schölkopf, MIT Press, Cambridge, MA; USA, (August-2004).
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Vert J-P, Saigo H and Akutsu T: Local Alignment Kernels for Biological Sequences, 131-153. In: Kernel Methods in Computational Biology, (Ed) B. Schölkopf, MIT Press, Cambridge, MA, USA, (August-2004).
Kin T, Kato T and Tsuda K: Protein Classification via Kernel Matrix Completion, 261-274. In: Kernel Methods in Computational Biology, (Ed) B. Schölkopf, MIT Press, Cambridge, MA, USA, (August-2004).
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Stark S and Berlin M: Distributed Command Execution, 152-152. In: BSD Hacks: 100 industrial-strength tips & tools, (Ed) Dru Lavigne, O'Reilly, Beijing, (May-2004).

Technical reports (11):

von Luxburg U and Franz VH: Confidence Sets for Ratios: A Purely Geometric Approach To Fieller's Theorem, 133, Max Planck Institute for Biological Cybernetics, Tübingen, Germany, (December-2004).
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Weston J, Schölkopf B, Bousquet O, Mann T and Noble WS: Joint Kernel Maps, 131, Max Planck Institute for Biological Cybernetics, Tübingen, Germany, (November-2004).
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Gretton A, Smola A, Bousquet O, Herbrich R, Schölkopf B and Logothetis NK: Behaviour and Convergence of the Constrained Covariance, 130, Max Planck Institute for Biological Cybernetics, Tübingen, Germany, (October-2004).
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Yu K, Tresp V and Zhou D: Semi-Supervised Induction, 141, Max Planck Institute for Biological Cybernetics, Tuebingen, Germany, (August-2004).
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Zhou D and Schölkopf B: Transductive Inference with Graphs, Max Planck Institute for Biological Cybernetics, Tübingen, Germany, (August-2004).
Hein M and Bousquet O: Hilbertian Metrics and Positive Definite Kernels on Probability Measures, 126, Max Planck Institute for Biological Cybernetics, Tübingen, Germany, (July-2004).
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Hein M and Bousquet O: Kernels, Associated Structures and Generalizations, 127, Max Planck Institute for Biological Cybernetics, Tübingen, Germany, (July-2004).
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Bakir GH, Gretton A, Franz MO and Schölkopf B: Multivariate Regression with Stiefel Constraints, 128, Max Planck Institute for Biological Cybernetics, Tübingen, Germany, (July-2004).
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Eichhorn J and Chapelle O: Object categorization with SVM: kernels for local features, 137, Max Planck Institute for Biological Cybernetics, Tübingen, Germany, (July-2004).
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Sinz FH: Kamerakalibrierung und Tiefenschätzung: Ein Vergleich von klassischer Bündelblockausgleichung und statistischen Lernalgorithmen, Wilhelm-Schickard-Institut für Informatik, Universität Tübingen, Tübingen, Germany, (March-2004).
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Zhou D and Schölkopf B: Learning from Labeled and Unlabeled Data Using Random Walks, Max Planck Institute for Biological Cybernetics, Tübingen, Germany, (March-2004).
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Posters (13):

Hinterberger T, Wilhelm B, Veit R, Weiskopf N, Lal TN and Birbaumer N (October-2004): Neural mechanisms underlying control of a Brain-Computer-Interface (BCI): Simultaneous recording of bold-response and EEG, 44th Annual Meeting of the Society for Psychophysiological Research, Santa Fe, NM, USA, Psychophysiology, 41(Supplement 1) S100.
Wehrhahn C, Hill NJ and Dillenburger B (October-2004): S-cones contribute to flicker brightness in human vision, 34th Annual Meeting of the Society for Neuroscience (Neuroscience 2004), San Diego, CA, USA.
Franz MO and Schölkopf B (September-2004): Implicit Wiener series for capturing higher-order interactions in images, Gordon Research Conference: Sensory Coding and the Natural Environment 2004, Oxford, UK.
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Last updated: Wednesday, 07.12.2011