Search results

Poster (44)

Poster
Schölkopf, B.; Williamson, R.; Smola, A.; Shawe-Taylor, J.: Single-class Support Vector Machines. Dagstuhl-Seminar 99121: Unsupervised Learning, Dagstuhl, Germany (1999)
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)
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)

Thesis - PhD (1)

Thesis - PhD
Schölkopf, B.: Support vector learning. Dissertation, 173 pp., Oldenbourg, München, Germany (1997)

Working Paper (3)

Working Paper
Parascandolo, G.; Neitz, A.; Orvieto, A.; Gresele, L.; Schölkopf, B.: Learning explanations that are hard to vary. (submitted)
Working Paper
Loktyushin, A.; Herz, K.; Dang, N.; Glang, F.; Deshmane, A.; Doerfler, A.; Schölkopf, B.; Scheffler, K.; Zaiss, M.: MRI zero: Fully automated invention of MRI sequences using supervised learning. (submitted)
Working Paper
Schölkopf, B.: Das Spiel mit dem künstlichen Leben. Frankfurter Allgemeine Zeitung: Wissenschaftsbeilage (1997)

Report (52)

Report
Grosse-Wentrup, M.; Schölkopf, B.: High Gamma-Power Predicts Performance in Brain-Computer Interfacing. Max-Planck-Institut für Intelligente Systeme, Tübingen, Germany (2012)
Report
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 pp.
Report
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 pp.
Report
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 pp.
Report
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 pp.
Report
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 pp.
Report
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 pp.
Report
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 pp.
Report
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 pp.
Report
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 pp.
Report
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 pp.
Report
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 pp.
Report
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 pp.
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