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 pp.

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

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 pp.

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 pp.

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)

Gretton, A.; Herbrich R, Schölkopf, B.; Rayner, P.: Bound on the Leave-One-Out Error for 2-Class Classification using nu-SVMs. (2001)

Gretton, A.; Herbrich R, Schölkopf, B.; Smola, A.; Rayner, P.: Bound on the Leave-One-Out Error for Density Support Estimation using nu-SVMs. (2001)

Steck, S.; Mochnatzki, H.; Mallot, H.: The Role of Geographical Slant in Virtual Environment Navigation (Technical Report of the Max Planck Institute for Biological Cybernetics, 87). Max Planck Institute for Biological Cybernetics, Tübingen, Germany (2001), 10 pp.

Weston, J.; Elisseeff, A.; Schölkopf, B.: Use of the $ell_0$-norm with linear models and kernel methods. Biowulf Technologies, Savannah, GA, USA (2001)

Zoeschinger, G.; Wickler, M.; Braun, A.; Pohmann, R.; Klein, K.: X-SAR Mission Planning as an Example of Use for a Generic Planning Approach Paper for SRTM Summary Report, 2001. Deutsches Zentrum für Luft- und Raumfahrt e.V. (DLR) e.V., Oberpfaffenhofen, Germany (2001)

Cunningham, D.; Chatziastros, A.; von der Heyde, M.; Bülthoff, H.: Temporal adaptation and the role of temporal contiguity in spatial behavior (Technical Report of the Max Planck Institute for Biological Cybernetics, 85). Max Planck Institute for Biological Cybernetics, Tübingen, Germany (2000), 10 pp.

von der Heyde, M.: The Motion-Lab: A Virtual Reality Laboratory for Spatial Updating Experiments (Technical Report of the Max Planck Institute for Biological Cybernetics, 86). Max Planck Institute for Biological Cybernetics, Tübingen, Germany (2000), 32 pp.

Cunningham, D.; Billock, V.; Tsou, B.: Sensorimotor adaptation to violations of temporal contiguity (Technical Report of the Max Planck Institute for Biological Cybernetics, 83). Max Planck Institute for Biological Cybernetics, Tübingen, Germany (2000), 6 pp.

Wallis, G.; Bülthoff, H.: Learning to Recognize Objects (Technical Report of the Max Planck Institute for Biological Cybernetics, 84). Max Planck Institute for Biological Cybernetics, Tübingen, Germany (2000), 20 pp.

Riecke, B.; van Veen, H.; Bülthoff, H.: Visual Homing is possible without Landmarks: A Path Integration Study in Virtual Reality (Technical Report of the Max Planck Institute for Biological Cybernetics, 82). Max Planck Institute for Biological Cybernetics, Tübingen, Germany (2000), 29 pp.

Schölkopf, B.; Platt, J.; Shawe-Taylor, J.; Smola, A.; Williamson, R.: Estimating the support of a high-dimensional distribution. Microsoft Research, Microsoft Corporation, Redmond, VA, USA (2000), 30 pp.