Suchergebnisse

Poster (44)

441.
Poster
Schölkopf, B.; Williamson, R.; Smola, A.; Shawe-Taylor, J.: Single-class Support Vector Machines. Dagstuhl-Seminar 99121: Unsupervised Learning, Dagstuhl, Germany (1999)
442.
Poster
Kim, K.; Franz, M.; Schölkopf, B.: Kernel Hebbian Algorithm for single-frame super-resolution. Midwest Symposium on Circuits and Systems (MWSCAS 1998), Notre Dame, IN, USA (1998)
443.
Poster
Schölkopf, B.; Georg, P.; Mallot, H.: Perception and action in view-based maze navigation. 18th European Conference on Visual Perception (ECVP 1995), Tübingen, Germany (1995)

Hochschulschrift - Doktorarbeit (1)

444.
Hochschulschrift - Doktorarbeit
Schölkopf, B.: Support vector learning. Dissertation, 173 S., Oldenbourg, München, Germany (1997)

Forschungspapier (1)

445.
Forschungspapier
Schölkopf, B.: Das Spiel mit dem künstlichen Leben. Frankfurter Allgemeine Zeitung: Wissenschaftsbeilage (1997)

Bericht (52)

446.
Bericht
Grosse-Wentrup, M.; Schölkopf, B.: High Gamma-Power Predicts Performance in Brain-Computer Interfacing. Max-Planck-Institut für Intelligente Systeme, Tübingen, Germany (2012)
447.
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.
448.
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.
449.
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.
450.
Bericht
Giesen, J.; Maier, M.; Schölkopf, B.: Simultaneous Implicit Surface Reconstruction and Meshing (Technical Report of the Max Planck Institute for Biological Cybernetics, 179). Max Planck Institute for Biological Cybernetics, Tübingen, Germany (2008), 11 S.
451.
Bericht
Sra, S.; Kim, D.; Schölkopf, B.: Non-monotonic Poisson Likelihood Maximization (Technical Report of the Max Planck Institute for Biological Cybernetics, 170). Max Planck Institute for Biological Cybernetics, Tübingen, Germany (2008), 18 S.
452.
Bericht
Gretton, A.; Borgwardt, K.; Rasch, M.; Schölkopf, B.; Smola, A.: A Kernel Method for the Two-sample Problem (Technical Report of the Max Planck Institute for Biological Cybernetics, 157). Max Planck Institute for Biological Cybernetics, Tübingen, Germany (2008), 44 S.
453.
Bericht
Hein, M.; Steinke, F.; Schölkopf, B.: Energy Functionals for Manifold-valued Mappings and Their Properties (Technical Report of the Max Planck Institute for Biological Cybernetics, 167). Max Planck Institute for Biological Cybernetics, Tübingen, Germany (2008), 13 S.
454.
Bericht
Walder, C.; Kim, K.; Schölkopf, B.: Sparse Multiscale Gaussian Process Regression (Technical Report of the Max Planck Institute for Biological Cybernetics, 162). Max Planck Institute for Biological Cybernetics, Tübingen, Germany (2007), 14 S.
455.
Bericht
Breuer , P.; Kim, K.; Kienzle, W.; Blanz, V.; Schölkopf, B.: Automatic 3D Face Reconstruction from Single Images or Video (Technical Report of the Max Planck Institute for Biological Cybernetics, 160). Max Planck Institute for Biological Cybernetics, Tübingen, Germany (2007), 12 S.
456.
Bericht
Sinz, F.; Schölkopf, B.: Minimal Logical Constraint Covering Sets (Technical Report of the Max Planck Institute for Biological Cybernetics, 155). Max Planck Institute for Biological Cybernetics, Tübingen, Germany (2006), 12 S.
457.
Bericht
Corfield, D.; Schölkopf, B.; Vapnik, V.: Popper, Falsification and the VC-dimension (Technical Report of the Max Planck Institute for Biological Cybernetics, 145). Max Planck Institute for Biological Cybernetics, Tübingen, Germany (2005), 5 S.
458.
Bericht
Zhou, D.; Huang, J.; Schölkopf, B.: Beyond Pairwise Classification and Clustering Using Hypergraphs (Technical Report of the Max Planck Institute for Biological Cybernetics, 143). Max Planck Institute for Biological Cybernetics, Tübingen, Germany (2005), 13 S.
459.
Bericht
Gretton, A.; Bousquet, O.; Smola, A.; Schölkopf, B.: Measuring Statistical Dependence with Hilbert-Schmidt Norms (Technical Report of the Max Planck Institute for Biological Cybernetics, 140). Max Planck Institute for Biological Cybernetics, Tübingen, Germany (2005), 16 S.
460.
Bericht
Weston, J.; Schölkopf, B.; Bousquet, O.; Mann; Noble, W.: Joint Kernel Maps (Technical Report of the Max Planck Institute for Biological Cybernetics, 131). Max Planck Institute for Biological Cybernetics, Tübingen, Germany (2004), 9 S.
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