Suchergebnisse

Maier, M.; Hein, M.; von Luxburg, U.: Cluster Identification in Nearest-Neighbor Graphs (Technical Report of the Max Planck Institute for Biological Cybernetics, 163). Max Planck Institute for Biological Cybernetics, Tübingen, Germany (2007), 19 S.

Chiappa, S.; Barber, D.: Dirichlet Mixtures of Bayesian Linear Gaussian State-Space Models: a Variational Approach (Technical Report of the Max Planck Institute for Biological Cybernetics, 161). Max Planck Institute for Biological Cybernetics, Tübingen, Germany (2007), 32 S.

Harmeling, S.: Exploring model selection techniques for nonlinear dimensionality reduction. School of Informatics, University of Edinburgh, Edinburgh, UK (2007), 20 S.

Meilinger, T.; Riecke, B.; Berger, D.; Bülthoff, H.: A novel immersive virtual environment setup for behavioural experiments in humans, tested on spatial memory for environmental spaces (Technical Report of the Max Planck Institute for Biological Cybernetics, 158). Max Planck Institute for Biological Cybernetics, Tübingen, Germany (2007), 11 S.

Berger, D.; Schulte-Pelkum, J.; Bülthoff, H.: Simulating believable forward accelerations on a Stewart motion platform (Technical Report of the Max Planck Institute for Biological Cybernetics, 159). Max Planck Institute for Biological Cybernetics, Tübingen, Germany (2007), 19 S.

Breuer , P.; Kim, K.; Kienzle, W.; Blanz, V.; Schölkopf, B.: Automatic 3D Face Reconstruction from Single Images or Video (Technical Report of the Max Planck Institute for Biological Cybernetics, 160). Max Planck Institute for Biological Cybernetics, Tübingen, Germany (2007), 12 S.

Sra, S.; Jain, P.; Dhillon, I.: Modeling data using directional distributions: Part II. University of Texas, Austin, TX, USA (2007), 15 S.

Kim, D.; Sra, S.; Dhillon, I.: A New Projected Quasi-Newton Approach for the Nonnegative Least Squares Problem. University of Texas, Austin, TX, USA (2006), 16 S.

Sinz, F.; Schölkopf, B.: Minimal Logical Constraint Covering Sets (Technical Report of the Max Planck Institute for Biological Cybernetics, 155). Max Planck Institute for Biological Cybernetics, Tübingen, Germany (2006), 12 S.

Toussaint, M.; Harmeling, S.; Storkey, A.: Probabilistic inference for solving (PO)MDPs. School of Informatics, Institute for Adaptive and Neural Computation, Edinburgh, UK (2006)

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.