Suchergebnisse

Biessmann, F.: New Methods for the P300 Visual Speller (Lab Report of the Max Planck Institute for Biological Cybernetics, 1). Max Planck Institute for Biological Cybernetics, Tübingen, Germany (2006), 21 S.

Gehler, P.; Franz, M.: Implicit Wiener Series: Part II: Regularised estimation (Technical Report of the Max Planck Institute for Biological Cybernetics, 148). Max Planck Institute for Biological Cybernetics, Tübingen, Germany (2006), 11 S.

Riecke, B.; Nusseck, H.-G.; Schulte-Pelkum, J.: Selected Technical and Perceptual Aspects of Virtual Reality Displays (Technical Report of the Max Planck Institute for Biological Cybernetics, 154). Max Planck Institute for Biological Cybernetics, Tübingen, Germany (2006), 17 S.

Riecke, B.; Schulte-Pelkum, J.: Using the perceptually oriented approach to optimize spatial presence ego-motion simulation (Technical Report of the Max Planck Institute for Biological Cybernetics, 153). Max Planck Institute for Biological Cybernetics, Tübingen, Germany (2006), 26 S.

Shen, H.; Jegelka, S.; Gretton, A.: Geometric Analysis of Hilbert Schmidt Independence criterion based ICA contrast function. National ICT Australia (2006)

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.