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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2005

Conference papers (40):

Chapelle O and Zien A (January-2005) Semi-Supervised Classification by Low Density Separation, Tenth International Workshop on Artificial Intelligence and Statistics (AISTATS 2005), Society for Artificial Intelligence and Statistics, Fort Lauderdale, FL, USA, 57-64.

Contributions to books (2):

Schölkopf B and Smola AJ: Support Vector Machines and Kernel Algorithms, 5328-5335. In: Encyclopedia of Biostatistics, (Ed) P. Armitage, Wiley, Chichester, UK, (2005).
Wagemans J, Wichmann FA and de Beeck HO: Visual perception I: Basic principles, 3-47. In: Handbook of Cognition, (Ed) K. Lamberts, Sage, London, UK, (2005).

Technical reports (7):

Corfield D, Schölkopf B and Vapnik V: Popper, Falsification and the VC-dimension, 145, Max Planck Institute for Biological Cybernetics, Tübingen, Germany, (November-2005).
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Huang J: A Combinatorial View of Graph Laplacians, 144, Max Planck Institute for Biological Cybernetics, Tübingen, Germany, (August-2005).
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Zhou D, Huang J and Schölkopf B: Beyond Pairwise Classification and Clustering Using Hypergraphs, 143, Max Planck Institute for Biological Cybernetics, Tübingen, Germany, (August-2005).
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Gretton A, Bousquet O, Smola AJ and Schölkopf B: Measuring Statistical Dependence with Hilbert-Schmidt Norms, 140, Max Planck Institute for Biological Cybernetics, Tübingen, Germany, (June-2005).
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Kuss M, Pfingsten T, Csato L and Rasmussen CE: Approximate Inference for Robust Gaussian Process Regression, 136, Max Planck Institute for Biological Cybernetics, Tübingen, Germany, (March-2005).
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Kuss M, Jäkel F and Wichmann FA: Approximate Bayesian Inference for Psychometric Functions using MCMC Sampling, 135, Max Planck Institute for Biological Cybernetics, Tübingen, Germany, (January-2005).
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BakIr G, Wu M and Eichhorn J: Maximum-Margin Feature Combination for Detection and Categorization, Max Planck Institute for Biological Cybernetics, Tübingen, Germany, (2005).
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Posters (12):

Gretton A, Belitski A, Murayama Y, Schölkopf B and Logothetis NK (November-2005): Kernel methods for dependence testing in LFP-MUA, 35th Annual Meeting of the Society for Neuroscience (Neuroscience 2005), Washington, DC, USA.
Drewes J, Wichmann FA and Gegenfurtner KR (September-2005): Classification of natural scenes using global image statistics, Fifth Annual Meeting of the Vision Sciences Society (VSS 2005), Sarasota, FL, USA, Journal of Vision, 5(8) 602.
Drewes J, Wichmann F and Gegenfurtner K (September-2005): Global image statistics of natural scenes, International Workshop on Bioinspired Information Processing (BIP 2005), Lübeck, Germany.
Kienzle W, Franz MO, Wichmann FA and Schölkopf B (September-2005): Learning an Interest Operator from Eye Movements, International Workshop on Bioinspired Information Processing (BIP 2005), Lübeck, Germany.
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Wichmann FA, Rosas P and Gegenfurtner K (September-2005): Rapid animal detection in natural scenes: Critical features are local, Fifth Annual Meeting of the Vision Sciences Society (VSS 2005), Sarasota, FL, USA, Journal of Vision, 5(8) 376.
Jäkel F and Wichmann F (July-2005): Kernel-Methods, Similarity, and Exemplar Theories of Categorization, Fourth Annual Summer Interdisciplinary Conference (ASIC 2005), Bloomington, IN, USA.
Hill NJ, Schröder M, Lal TN and Schölkopf B (June-14-2005): Comparative evaluation of Independent Components Analysis algorithms for isolating target-relevant information in brain-signal classification, Third International Meeting on Brain–Computer Interface Technology (BCI 2005): Making a Difference, Rensselaerville, NY, USA.
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Wichmann F, Rosas P and Gegenfurtner K (April-2005): Rapid animal detection in natural scenes: critical features are local, 47. Tagung Experimentell Arbeitender Psychologen (TeaP 2005), Regensburg, Germany, Experimentelle Psychologie, 47 225.
Graf ABA, Wichmann F, Bülthoff H and Schölkopf B (March-2005): The human brain as a large margin classifier, Computational and Systems Neuroscience Meeting (COSYNE 2005), Salt Lake City, UT, USA.
Kuss M, Jäkel F and Wichmann FA (February-2005): Bayesian Inference for Psychometric Functions, 8th Tübingen Perception Conference (TWK 2005), Tübingen, Germany.
Drewes J, Wichmann FA and Gegenfurtner KR (February-2005): Classification of Natural Scenes using Global Image Statistics, 8th Tübingen Perception Conference (TWK 2005), Tübingen, Germany.
Tanner TG, Hill NJ, Rasmussen CE and Wichmann FA (February-2005): Efficient Adaptive Sampling of the Psychometric Function by Maximizing Information Gain, 8th Tübingen Perception Conference (TWK 2005), Tübingen, Germany.

Theses (5):

BakIr G: Extension to Kernel Dependency Estimation with Applications to Robotics, Technische Universität Berlin, (November-2005). PhD thesis
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Hein M: Geometrical aspects of statistical learning theory, Technische Universität Darmstadt, (November-2005). PhD thesis
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Steinke F: Implicit Surfaces For Modelling Human Heads, Eberhard-Karls-Universität, Tübingen, (September-29-2005). Diplom thesis
Tanner TG: Efficient Adaptive Sampling of the Psychometric Function by Maximizing Information Gain, Eberhard Karls Universität Tübingen, Germany, (May-2005). Diplom thesis
Lal TN: Machine Learning Methods for Brain-Computer Interfaces, Technische Universität Darmstadt, (2005). PhD thesis

Talks (8):

Zhou D, Huang J and Schölkopf B (December-10-2005) Invited Lecture: Beyond pairwise classification and clustering using hypergraphs, NIPS Workshop on Computational Biology and the Analysis of Heterogeneous Data (MLCB 2005), Whistler, BC, Canada.
Rätsch G, Sonnenburg S, Ong CS and Schölkopf B (December-9-2005) Invited Lecture: Accurate prediction of alternative splicing events, NIPS Workshop on Computational Biology and the Analysis of Heterogeneous Data (MLCB 2005), Whistler, BC, Canada.
Chapelle O (December-2005) Invited Lecture: A taxonomy of semi-supervised learning algorithms, Yahoo!, Sunnyvale, CA, USA.
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Jegelka S, Gretton A and Achlioptas D (December-2005) Invited Lecture: Kernel ICA for Large Scale Problems, NIPS 2005 Workshop on Large Scale Kernel Machines, Whistler, Canada.
Chapelle O (December-2005) Invited Lecture: Some thoughts about Gaussian Processes, NIPS 2005 Workshop on Open Problems in Gaussian Processes for Machine Learning, Whistler, BC, Canada.
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Corfield D (October-12-2005) Invited Lecture: n-Categories in the Light of Earlier Debates on Correct Generality in Category Theory, École Normale Supérieure: Journée Aspects historiques et philosophiques de la théorie des Catégories, Paris, France.
Hill NJ, Bensch M, Bogdan M, Lal TN, Rosenstiel W, Schölkopf B and Schröder M (June-16-2005) Abstract Talk: Machine-Learning Approaches to BCI in Tübingen, Third International Meeting on Brain–Computer Interface Technology (BCI 2005): Making a Difference, Rensselaerville, NY, USA.
Birbaumer N, Widmann G, Elger C, Schröder M, Hinterberger T, Lal TN, Schölkopf B, Tatagiba M and Freudenstein D (February-18-2005) Abstract Talk: Invasive and Non-Invasive Brain-Computer-Interfaces for Communication in Locked-In Syndrome, 6th Meeting of the German Neuroscience Society, 30th Göttingen Neurobiology Conference, Göttingen, Germany 239.

2004

Books (2):

Schölkopf B, Tsuda K and Vert J-P: Kernel Methods in Computational Biology, 410, MIT Press, Cambridge, MA, USA, (August-2004). ISBN: 0-262-19509-7, Series: Computational Molecular Biology
von Luxburg U: Statistical Learning with Similarity and Dissimilarity Functions, 166, Logos Verlag, Berlin, Germany, (2004). ISBN: 978-3-8325-0767-1, Series: MPI Series in Biological Cybernetics ; 10

Proceedings (3):

Bousquet O, von Luxburg U and Rätsch G: Advanced Lectures on Machine Learning, ML Summer Schools 2003, 240, Springer, Berlin, Germany, (September-2004).
978-3-540-23122-6, Series: Lecture Notes in Computer Science ; 3176
Rasmussen CE, Bülthoff HH, Giese MA and Schölkopf B: Pattern Recognition: 26th DAGM Symposium, 26th Annual Symposium of the German Association for Pattern Recognition (DAGM 2004), 581, Springer, Berlin, Germany, (September-2004).
978-3-540-22945-2, Series: Lecture Notes in Computer Science ; 3175
Thrun S, Saul LK and Schölkopf B: Advances in Neural Information Processing Systems 16: Proceedings of the 2003 Conference, Seventeenth Annual Conference on Neural Information Processing Systems (NIPS 2003), 1621, MIT Press, Cambridge, MA, USA, (June-2004).
0-262-20152-6

Articles (21):

Ilg W, Bakir GH, Mezger J and Giese MA (December-2004) On the Representation, Learning and Transfer of Spatio-Temporal Movement Characteristics International Journal of Humanoid Robotics 1(4) 613-636.
Romdhani S, Torr P, Schölkopf B and Blake A (November-2004) Efficient face detection by a cascaded support-vector machine expansion Proceedings of The Royal Society of London A 460(2501) 3283-3297.
Franz MO, Chahl JS and Krapp HG (November-2004) Insect-inspired estimation of egomotion Neural Computation 16(11) 2245-2260.
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Smola AJ and Schölkopf B (August-2004) A Tutorial on Support Vector Regression Statistics and Computing 14(3) 199-222.
Cornford D, Csato L, Evans D and Opper M (August-2004) Bayesian analysis of the Scatterometer Wind Retrieval Inverse Problem: Some New Approaches Journal of the Royal Statistical Society: Series B 66(3) 609-626.
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Henning GB, Hoddinott KT, Wilson-Smith ZJ and Hill NJ (August-2004) Masking effect produced by Mach bands on the detection of narrow bars of random polarity Journal of the Optical Society of America 21(8) 1379-1387.
von Luxburg U and Bousquet O (June-2004) Distance-Based Classification with Lipschitz Functions Journal of Machine Learning Research 5 669-695.
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Rosas P, Wichmann FA and Wagemans J (June-2004) Some observations on the effects of slant and texture type on slant-from-texture Vision Research 44(13) 1511-1535.
Lal TN, Schröder M, Hinterberger T, Weston J, Bogdan M, Birbaumer N and Schölkopf B (June-2004) Support Vector Channel Selection in BCI IEEE Transactions on Biomedical Engineering 51(6) 1003-1010.
Perez-Cruz F and Bousquet O (May-2004) Kernel methods and their potential use in signal processing IEEE Signal Processing Magazine 21(3) 57-65.
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Last updated: Wednesday, 07.12.2011