Suchergebnisse

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)

Lawson, R.; Bülthoff, H.; Dumbell, S.: Interactions between view changes and shape changes in picture-picture matching (Technical Report of the Max Planck Institute for Biological Cybernetics, 95). Max Planck Institute for Biological Cybernetics, Tübingen, Germany (2002), 23 S.

Wallis, G.; Bülthoff, H.: A Brief Introduction to Cortical Representations of Objects (Technical Report of the Max Planck Institute for Biological Cybernetics, 97). Max Planck Institute for Biological Cybernetics, Tübingen, Germany (2002), 8 S.

Rothkegel, R.; Mallot, H.; Bülthoff, H.: Relearning of metric relations in a familiar environment (Technical Report of the Max Planck Institute for Biological Cybernetics, 90). Max Planck Institute for Biological Cybernetics, Tübingen, Germany (2002), 10 S.

Weston, J.; Perez-Cruz F, Bousquet, O.; Chapelle, O.; Elisseeff, A.; Schölkopf, B.: Feature Selection and Transduction for Prediction of Molecular Bioactivity for Drug Design. (2002)

Williams, C.; Rasmussen, C.; Scwaighofer, A.; Tresp, V.: Observations on the Nyström Method for Gaussian Process Prediction. University of Edinburgh, Edinburgh, UK (2002), 9 S.

von der Heyde, M.; Riecke, B.: How to cheat in motion simulation: comparing the engineering and fun ride approach to motion cueing (Technical Report of the Max Planck Institute for Biological Cybernetics, 89). Max Planck Institute for Biological Cybernetics, Tübingen, Germany (2001), 9 S.

Bradshaw, B.; Schölkopf, B.; Platt, J.: Kernel Methods for Extracting Local Image Semantics. Microsoft Research, Microsoft Corporation, Redmond WA USA (2001), 9 S.

Zivkovic, I.: Analysis of burst signals in LIGO data: optimizing of burst search algorithm in time-frequency domain. (2001)

Berndt, I.; Franz, V.; Bülthoff, H.; Wascher, E.: Effects of Pointing Direction and Direction Predictability on Event-related Lateralisations of the EEG (Technical Report of the Max Planck Institute for Biological Cybernetics, 88). Max Planck Institute for Biological Cybernetics, Tübingen, Germany (2001), 19 S.

Lohmann, G.; Müller, K.; Bosch, V.; Mentzel, H.; Hessler, S.; Chen, L.; von Cramon, D.: LIPSIA: Leipzig Image Processing and Statistical Inference Algorithms. Max-Planck-Institute of Mathematics in the Sciences, Leipzig, Germany (2001), 33 S.

Bartlett, P.; Schölkopf, B.: Some kernels for structured data. Biowulf Technologies, Savannah, GA, USA (2001)

Chapelle, O.; Schölkopf, B.: Incorporating Invariances in Non-Linear Support Vector Machines. (2001)

Chen, Y.; Fu, Q.; Gu, L.; Li, S.; Schölkopf, B.; Zhang, H.: Kernel Machine Based Learning for Multi-View Face Detection and Pose Estimation. Microsoft Research, Microsoft Corporation, Redmond, VA, USA (2001)

Geyer, M.; Wickler, M.; Zoeschinger, G.; Pohmann, R.: ATLAS: Overview and Tool description. Deutsches Zentrum für Luft- und Raumfahrt e. V. (DLR), Oberpfaffenhofen, Germany (2001)