Suchergebnisse

Poster (42)

  1. 421.
    Poster
    Clark, R.; Ossowski, S.; Schweikert, G.; Zeller, G.; Shinn , P.; Raetsch, G.; Warthmann, N.; Fu, G.; Hinds, D.; Cheng, H. et al.; Frazer, K.; Toomajian, C.; Hu, T.; Huson, D.; Schölkopf, B.; Nordborg, M.; Ecker, J.; Weigel, D.: An Inventory of Common Sequence Polymorphisms for Arabidopsis. 17th International Conference on Arabidopsis Research (ICAR 2006), Madison, WI, USA (2006)
  2. 422.
    Poster
    Franz, M.; Schölkopf, B.: Implicit Volterra and Wiener Series for Higher-Order Image Analysis. 30th Annual Conference of the German Classification Society: Advances in Data Analysis (GfKl 2006), Berlin, Germany (2006)
  3. 423.
    Poster
    Gretton, A.; Belitski, A.; Murayama, Y.; Schölkopf, B.; Logothetis, N.: Kernel methods for dependence testing in LFP-MUA. 35th Annual Meeting of the Society for Neuroscience (Neuroscience 2005), Washington, DC, USA (2005)
  4. 424.
    Poster
    Kienzle, W.; Franz, M.; Wichmann, F.; Schölkopf, B.: Learning an Interest Operator from Eye Movements. International Workshop on Bioinspired Information Processing (BIP 2005), Lübeck, Germany (2005)
  5. 425.
    Poster
    Hill, N.; Schröder, M.; Lal, T.; Schölkopf, B.: 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 (2005)
  6. 426.
    Poster
    Graf, A.; Wichmann, F.; Bülthoff, H.; Schölkopf, B.: The human brain as a large margin classifier. Computational and Systems Neuroscience Meeting (COSYNE 2005), Salt Lake City, UT, USA (2005)
  7. 427.
    Poster
    Gretton, A.; Smola, A.; Bousquet, O.; Herbrich, R.; Belitski, A.; Augath, M.; Murayama, Y.; Pauls, J.; Schölkopf, B.; Logothetis, N.: Kernel-based dependence detection in the Macaque visual cortex. Computational and Systems Neuroscience Meeting (COSYNE 2005), Salt Lake City, UT, USA (2005)
  8. 428.
    Poster
    Gretton, A.; Smola, A.; Bousquet, O.; Herbrich, R.; Belitski, A.; Augath, M.; Murayama, Y.; Pauls, J.; Schölkopf, B.; Logothetis, N.: Kernel-based measures of dependence in the Macaque visual cortex. Computational and Systems Neuroscience Meeting (COSYNE 2005), Salt Lake City, UT, USA (2005)
  9. 429.
    Poster
    Franz, M.; Schölkopf, B.: Implicit Wiener series for capturing higher-order interactions in images. Gordon Research Conference: Sensory Coding and the Natural Environment 2004, Oxford, UK (2004)
  10. 430.
    Poster
    Graf, A.; Wichmann, F.; Bülthoff, H.; Schölkopf, B.: Classification and Memory Behaviour of Man Revisited by Machine. Computational and Systems Neuroscience Meeting (COSYNE 2004), Cold Spring Harbor, NY, USA (2004)
  11. 431.
    Poster
    Graf, A.; Wichmann, F.; Bülthoff, H.; Schölkopf, B.: Human Classification Behaviour Revisited by Machine Learning. 7th Tübingen Perception Conference (TWK 2004), Tübingen, Germany (2004)
  12. 432.
    Poster
    Hill, N.; Lal, T.; Schröder, M.; Hinterberger , T.; Birbaumer, N.; Schölkopf, B.: Selective Attention to Auditory Stimuli: A Brain-Computer Interface Paradigm. 7th Tübingen Perception Conference (TWK 2004), Tübingen, Germany (2004)
  13. 433.
    Poster
    Schröder, M.; Lal, T.; Bogdan, M.; Schölkopf, B.: EEG Channel Selection for Brain Computer Interface Systems Based on Support Vector Methods. 7th Tübingen Perception Conference (TWK 2004), Tübingen, Germany (2004)
  14. 434.
    Poster
    Birbaumer, N.; Schölkopf, B.; Preissl, H.: The Thought-Translation-Device (TTD): A brain-computerinterface for the completely paralyzed. 5th Meeting of the German Neuroscience Society, 29th Göttingen Neurobiology Conference, Göttingen, Germany (2003)
  15. 435.
    Poster
    Graf, A.; Wichmann, F.; Bülthoff, H.; Schölkopf, B.: Study of Human Classification using Psychophysics and Machine Learning. 6. Tübinger Wahrnehmungskonferenz (TWK 2003), Tübingen, Germany (2003)
  16. 436.
    Poster
    Schölkopf, B.; Williamson R, Smola, A.; Shawe-Taylor, J.: Single-class Support Vector Machines. (1999)

Bericht (53)

  1. 437.
    Bericht
    Grosse-Wentrup, M.; Schölkopf, B.: High Gamma-Power Predicts Performance in Brain-Computer Interfacing. Max-Planck-Institut für Intelligente Systeme, Tübingen, Germany (2012)
  2. 438.
    Bericht
    Schuler, C.; Hirsch, M.; Harmeling, S.; Schölkopf, B.: Non-stationary Correction of Optical Aberrations (Technical Report of the Max Planck Institute for Intelligent Systems, 1). Max Planck Institute for Intelligent Systems, Tübingen, Germany (2011), 9 S.
  3. 439.
    Bericht
    Harmeling, S.; Sra, S.; Hirsch, M.; Schölkopf, B.: An Incremental GEM Framework for Multiframe Blind Deconvolution, Super-Resolution, and Saturation Correction (Technical Report of the Max Planck Institute for Biological Cybernetics, 187). Max Planck Institute for Biological Cybernetics, Tübingen, Germany (2009), 9 S.
  4. 440.
    Bericht
    Hirsch, M.; Sra, S.; Schölkopf, B.; Harmeling, S.: Efficient Filter Flow for Space-Variant Multiframe Blind Deconvolution (Technical Report of the Max Planck Institute for Biological Cybernetics, 188). Max Planck Institute for Biological Cybernetics, Tübingen, Germany (2009), 9 S.
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