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 pp.

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 pp.

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 pp.

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 pp.

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 pp.

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 pp.

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 pp.

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 pp.

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 pp.