Suchergebnisse

Meeting Abstract (22)

381.
Meeting Abstract
Wichmann, F.; Kienzle, W.; Schölkopf, B.; Franz, M.: Center-surround patterns emerge as optimal predictors for human saccade targets. In Beiträge zur 50. Tagung experimentell arbeitender Psychologen, S. 217 (Hg. Khader, P.; Jost, K.; Lachnit, H.; Rösler, F.). 50. Tagung Experimentell Arbeitender Psychologen (TeaP 2008), Marburg, Germany, 03. März 2008 - 05. März 2008. Pabst, Lengerich. Germany (2008)
382.
Meeting Abstract
Hofmann, M.; Steinke, F.; Scheel, V.; Charpiat, G.; Brady, M.; Schölkopf, B.; Pichler, B.: MR-Based PET Attenuation Correction: Method and Validation. In AMI/SMI Joint Molecular Imaging Conference 2007. AMI/SMI Joint Molecular Imaging Conference (MIC 2007), Providence, RI, USA, 08. September 2007 - 11. September 2007. (2007)
383.
Meeting Abstract
Hofmann, M.; Steinke, F.; Judenhofer, M.; Claussen, C.; Schölkopf, B.; Pichler, B.: A Machine Learning Approach for Determining the PET Attenuation Map from Magnetic Resonance Images. In IEEE Nuclear Science Symposium and Medical Imaging Conference (NSS-MIC 2006), M08-3. IEEE Nuclear Science Symposium and Medical Imaging Conference (NSS-MIC 2006), San Diego, CA, USA, 29. Oktober 2006 - 04. November 2006. (2006)
384.
Meeting Abstract
Bensch, M.; Bogdan, M.; Hill, N.; Lal, T.; Rosenstiel, W.; Schölkopf, B.; Schröder, M.: Machine-Learning Approaches to BCI in Tübingen. In Third International Meeting on Brain–Computer Interface Technology (BCI 2005): Making a Difference. Third International Meeting on Brain–Computer Interface Technology (BCI 2005): Making a Difference, Rensselaerville, New York. (2005)
385.
Meeting Abstract
Birbaumer, N.; Widmann, G.; Elger, C.; Schröder, M.; Hinterberger, T.; Lal, T.; Schölkopf, B.; Tatagiba, M.; Freudenstein, D.: Invasive and Non-Invasive Brain-Computer-Interfaces for Communication in Locked-in Syndrome. In Neuroforum, 2005 (Supplement), S. 239. 6th Meeting of the German Neuroscience Society, 30th Göttingen Neurobiology Conference, Göttingen, Germany, 17. Februar 2005 - 20. Februar 2005. (2005)
386.
Meeting Abstract
Schmid, M.; Henz, S.; Davison, T.; Pape, U.; Vingron, M.; Schölkopf, B.; Weigel, D.; Lohmann, U.: AtGenExpress: Expression atlas of Arabidopsis Development. In 15th International Conference on Arabidopsis Research, T10-018, S. 485. 15th International Conference on Arabidopsis Research, Berlin, Germany, 11. Juli 2004 - 14. Juli 2004. Max Planck Institute of Molecular Plant Physiology, Potsdam, Germany (2004)
387.
Meeting Abstract
Franz, M.; Schölkopf, B.; Mallot, H.; Bülthoff, H.: Aktives Erwerben eines Ansichtsgraphen zur diskreten Repräsentation offener Umwelten. In Fortschritte der künstlichen Intelligenz (KI 96): aus den Workshops der 20. Deutschen Jahrestagung für Künstliche Intelligenz, S. 92 (Hg. Thielscher, M.; Bornscheuer, B.-E.). 20. Deutsche Jahrestagung für Künstliche Intelligenz (KI 1996), Dresden, Germany, 17. September 1996 - 19. September 1996. Dresden University Press, Dresden, Germany (1996)

Vortrag (25)

388.
Vortrag
Loktyushin, A.; Nickisch, H.; Pohmann, R.; Schölkopf, B.: Multi-rigid motion correction of MR images. 30th Annual Scientific Meeting ESMRMB 2013, Toulouse, France (2013)
389.
Vortrag
Schölkopf, B.: Learning and inference with positive definite kernels. 34th Annual South African Symposium on Numerical and Applied Mathematics (SANUM 2010), Stellenbosch, South Africa (2010)
390.
Vortrag
Schölkopf, B.: Kernel Methods. Machine Learning Summer School (MLSS 2009), Cambridge, UK (2009)
391.
Vortrag
Freeman, W.; Schölkopf, B.: Computational Photography. NIPS 2008 Workshop: Computational Photography, Whistler, BC, Canada (2008)
392.
Vortrag
Guyon, I.; Janzing, D.; Schölkopf, B.: Causality: objectives and assessment. NIPS 2008 Workshop: Causality: objectives and assessment, Whistler, BC, Canada (2008)
393.
Vortrag
Seeger, M.; Nickisch, H.; Pohmann, R.; Schölkopf, B.: Bayesian Experimental Design of MRI Sequences. Workshop on Machine Learning: Approaches to Representational Learning and Recognition in Vision, Frankfurt a.M., Germany (2008)
394.
Vortrag
Steinke, F.; Hein, M.; Schölkopf, B.: Thin-Plate Splines Between Riemannian Manifolds. HIM Workshop: Geometry and Statistics of Shapes 2008, Bonn, Germany (2008)
395.
Vortrag
Zeller, G.; Schweikert, G.; Clark, R.; Ossowski, S.; Shin, P.; Frazer, K.; Ecker, J.; Weigel, D.; Schölkopf, B.; Rätsch, G.: Machine Learning Algorithms for Polymorphism Detection. NIPS 2007 Workshop on Machine Learning in Computational Biology (MLCB 2007), Whistler, Canada (2007)
396.
Vortrag
Fukumizu, K.; Gretton, A.; Sun, X.; Schölkopf, B.: Measuring Conditional Dependence with Kernels. 2nd Workshop on Machine Learning and Optimization at the ISM, Tokyo, Japan (2007)
397.
Vortrag
Gretton, A.; Borgwardt, K.; Fukumizu, K.; Rasch, M.; Schölkopf, B.; Smola, A.; Song , L.; Teo, C.: Hilbert Space Representations of Probability Distributions. 2nd Workshop on Machine Learning and Optimization at the ISM, Tokyo, Japan (2007)
398.
Vortrag
Martens, S.; Hill, J.; Farquhar, J.; Schölkopf, B.: Impact of target-to-target interval on classification performance in the P300 speller. Conference Applied Neuroscience for Healthy Brain Function 2007, Nijmegen, Netherlands (2007)
399.
Vortrag
Schölkopf, B.; Smola, A.: Learning with Kernels. Machine Learning Summer School (MLSS 2007), Tübingen, Germany (2007)
400.
Vortrag
Schölkopf, B.: Thoughts on Kernels. 17th Annual International Conference on Inductive Logic Programming (ILP 2007), Corvallis, OR, USA (2007)
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