Franz, G.: veLua: an interface between the Virtual Environments Library (veLib) and the programming language Lua: Library Version 1.6.0 (Technical Report of the Max Planck Institute for Biological Cybernetics, 152). Max Planck Institute for Biological Cybernetics, Tübingen, Germany (2006), 15 S.

von Luxburg, U.: A tutorial on spectral clustering (Technical Report of the Max Planck Institute for Biological Cybernetics, 149). Max Planck Institute for Biological Cybernetics, Tübingen, Germany (2006), 29 S.

Zien, A.; Rätsch, G.; Ong, C.: Towards the Inference of Graphs on Ordered Vertexes (Technical Report of the Max Planck Institute for Biological Cybernetics, 150). Max Planck Institute for Biological Cybernetics, Tübingen, Germany (2006), 9 S.

Sra, S.; Dhillon, I.: Nonnegative Matrix Approximation: Algorithms and Applications. University of Texas, Austin, TX, USA (2006)

Chapelle, O.: Training a Support Vector Machine in the Primal (Technical Report of the Max Planck Institute for Biological Cybernetics, 147). Max Planck Institute for Biological Cybernetics, Tübingen, Germany (2006), 15 S.

Zien, A.; Ong, C.: An Automated Combination of Sequence Motif Kernels for Predicting Protein Subcellular Localization (Technical Report of the Max Planck Institute for Biological Cybernetics, 146). Max Planck Institute for Biological Cybernetics, Tübingen, Germany (2006), 18 S.

Seeger, M.: Cross-Validation Optimization for Structured Hessian Kernel Methods. Max Planck Institute for Biological Cybernetics, Tübingen, Germany (2006), 36 S.

Nooij, S.; Bos , J.; Groen, E.; Bles, W.: Validating the SIC-SAS paradigm during the Delta Mission: Motion perception and new vestibular function tests. Toegepast Natuurwetenschappelijk Onderzoek (TNO) Human Factors, Soesterberg, The Netherlands (2006)

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 S.

Bülthoff, I.; Newell, F.: Categorical perception of gender: No evidence for unfamiliar faces (Technical Report of the Max Planck Institute for Biological Cybernetics, 094). Max Planck Institute for Biological Cybernetics, Tübingen, Germany (2005), 27 S.

Riecke, B.; Schulte-Pelkum, J.; Caniard, F.; Bülthoff, H.: Spatialized auditory cues enhance the visually-induced self-motion illusion (circular vection) in Virtual Reality (Technical Report of the Max Planck Institute for Biological Cybernetics, 138). Max Planck Institute for Biological Cybernetics, Tübingen, Germany (2005), 12 S.

Franz, G.; Weyel, M.: veLib Reference Manual: Library Version 1.2.0 (Technical Report of the Max Planck Institute for Biological Cybernetics, 142). Max Planck Institute for Biological Cybernetics, Tübingen, Germany (2005), 456 S.

Huang, J.: A Combinatorial View of Graph Laplacians (Technical Report of the Max Planck Institute for Biological Cybernetics, 144). Max Planck Institute for Biological Cybernetics, Tübingen, Germany (2005), 9 S.

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 S.

Dhillon, I.; Sra, S.: Generalized Nonnegative Matrix Approximations using Bregman Divergences. Department of Computer Sciences: University of Texas, Austin, TX, USA (2005), 14 S.

Fukumizu, K.; Bach, F.; Gretton, A.: Consistency of Kernel Canonical Correlation Analysis. Institute of Statistical Mathematics, Tokyo, Japan (2005), 22 S.

Gretton, A.; Bousquet, O.; Smola, A.; Schölkopf, B.: Measuring Statistical Dependence with Hilbert-Schmidt Norms (Technical Report of the Max Planck Institute for Biological Cybernetics, 140). Max Planck Institute for Biological Cybernetics, Tübingen, Germany (2005), 16 S.

Chandramouli, C.; Thornton, I.; Bülthoff, H.: Selective Attention and Biological Motion (Technical Report of the Max Planck Institute for Biological Cybernetics, 139). Max Planck Institute for Biological Cybernetics, Tübingen, Germany (2005), 13 S.

Kuss, M.; Pfingsten, T.; Csato, L.; Rasmussen, C.: Approximate Inference for Robust Gaussian Process Regression (Technical Report of the Max Planck Institute for Biological Cybernetics, 136). Max Planck Institute for Biological Cybernetics, Tübingen, Germany (2005), 27 S.

Bakır, G.; Wu, M.; Eichhorn, J.: Maximum-Margin Feature Combination for Detection and Categorization. Max Planck Institute for Biological Cybernetics, Tübingen, Germany (2005), 8 S.