Suchergebnisse

Franz, M.; Schölkopf, B.: Implicit Wiener Series: Part I: Cross-Correlation vs. Regression in Reproducing Kernel Hilbert Spaces (Technical Report of the Max Planck Institute for Biological Cybernetics, 114). Max Planck Institute for Biological Cybernetics, Tübingen, Germany (2003), 15 S.

Kim, K.; Franz, M.; Schölkopf, B.: Kernel Hebbian Algorithm for Iterative Kernel Principal Component Analysis (Technical Report of the Max Planck Institute for Biological Cybernetics, 109). Max Planck Institute for Biological Cybernetics, Tübingen, Germany (2003), 13 S.

Weston, J.; Leslie, C.; Elisseeff, A.; Noble, W.: Machine Learning approaches to protein ranking: discriminative, semi-supervised, scalable algorithms (Technical Report of the Max Planck Institute for Biological Cybernetics, 111). Max Planck Institute for Biological Cybernetics, Tübingen, Germany (2003), 10 S.

Zhou, D.; Bousquet, O.; Lal, T.; Weston, J.; Schölkopf, B.: Learning with Local and Global Consistency (Technical Report of the Max Planck Institute for Biological Cybernetics, 112). Max Planck Institute for Biological Cybernetics, Tübingen, Germany (2003), 8 S.

Zhou, D.; Weston, J.; Gretton, A.; Bousquet, O.; Schölkopf, B.: Ranking on Data Manifolds (Technical Report of the Max Planck Institute for Biological Cybernetics, 113). Max Planck Institute for Biological Cybernetics, Tübingen, Germany (2003), 8 S.

Kuss, M.; Graepel, T.: The Geometry Of Kernel Canonical Correlation Analysis (Technical Report of the Max Planck Institute for Biological Cybernetics, 108). Max Planck Institute for Biological Cybernetics, Tübingen, Germany (2003), 11 S.

Gretton, A.; Herbrich, R.; Smola, A.: The Kernel Mutual Information. Max Planck Institute for Biological Cybernetics, Tübingen, Germany (2003), 91 S.

Banerjee, A.; Dhillon, I.; Ghosh, J.; Sra, S.: Expectation Maximization for Clustering on Hyperspheres. University of Texas: Department of Computer Science, Austin, TX, USA (2003), 33 S.

Bousquet, O.: A Note on Parameter Tuning for On-Line Shifting Algorithms. Max Planck Institute for Biological Cybernetics, Tübingen, Germany (2003), 9 S.

Dhillon, I.; Sra, S.: Modeling Data using Directional Distributions. University of Texas: Department of Computer Science, Austin, TX, USA (2003), 21 S.

Riecke, B.; von der Heyde, M.: Qualitative Modeling of Spatial Orientation Processes using Logical Propositions: Interconnecting Spatial Presence, Spatial Updating, Piloting, and Spatial Cognition (Technical Report of the Max Planck Institute for Biological Cybernetics, 100). Max Planck Institute for Biological Cybernetics, Tübingen, Germany (2002), 17 S.

Graf, M.; Schwaninger, A.; Wallraven, C.; Bülthoff, H.: Psychophysical results from experiments on recognition categorisation. Commission of the European Union: Cognitive Vision Systems – CogVis (2002), 54 S.

Knappmeyer, B.; Thornton, I.; Bülthoff, H.: Interactions between facial form and facial motion during the processing of identity (Technical Report of the Max Planck Institute for Biological Cybernetics, 94). Max Planck Institute for Biological Cybernetics, Tübingen, Germany (2002), 18 S.

Rieger, J.; Braun, C.; Gegenfurtner, K.; Bülthoff, H.: The Dynamics of Visual Pattern Masking in Natural Scene processing: A MEG-Study (Technical Report of the Max Planck Institute for Biological Cybernetics, 103). Max Planck Institute for Biological Cybernetics, Tübingen, Germany (2002), 12 S.

von Luxburg, U.; Bousquet, O.; Schölkopf, B.: A compression approach to support vector model selection (Technical Report of the Max Planck Institute for Biological Cybernetics, 101). Max Planck Institute for Biological Cybernetics, Tübingen, Germany (2002), 9 S.

Graf, A.; Wallraven, C.: Multi-class SVMs for Image Classification using Feature Tracking (Technical Report of the Max Planck Institute for Biological Cybernetics, 99). Max Planck Institute for Biological Cybernetics, Tübingen, Germany (2002), 7 S.

Weston, J.; Chapelle, O.; Elisseeff, A.; Schölkopf, B.; Vapnik, V.: Kernel Dependency Estimation (Technical Report of the Max Planck Institute for Biological Cybernetics, 98). Max Planck Institute for Biological Cybernetics, Tübingen, Germany (2002), 10 S.

Franz, V.: Planning versus Online Control: Dynamic Illusion Effects in Grasping? (Technical Report of the Max Planck Institute for Biological Cybernetics, 96). Max Planck Institute for Biological Cybernetics, Tübingen, Germany (2002), 9 S.

Franz, V.; Bülthoff, H.; Fahle, M.: Grasp effects of the Ebbinghaus illusion: Obstacle-avoidance is not the explanation (Technical Report of the Max Planck Institute for Biological Cybernetics, 91). Max Planck Institute for Biological Cybernetics, Tübingen, Germany (2002), 12 S.

Romdhani, S.; Torr, P.; Schölkopf, B.; Blake, A.: Computationally Efficient Face Detection. Microsoft Research, Microsoft Corporation, Redmond, WA, USA (2002)