Suchergebnisse

Bericht (312)

16301.
Bericht
Engelmann, J.: Intracellular Targeting Agents. (2009), 65 S.
16302.
Bericht
Nickisch, H.; Kohli, P.; Rother, C.: Learning an Interactive Segmentation System. Max Planck Institute for Biological Cybernetics, Tübingen, Germany (2009), 11 S.
16303.
Bericht
Harmeling, S.; Sra, S.; Hirsch, M.; Schölkopf, B.: An Incremental GEM Framework for Multiframe Blind Deconvolution, Super-Resolution, and Saturation Correction (Technical Report of the Max Planck Institute for Biological Cybernetics, 187). Max Planck Institute for Biological Cybernetics, Tübingen, Germany (2009), 9 S.
16304.
Bericht
Hirsch, M.; Sra, S.; Schölkopf, B.; Harmeling, S.: Efficient Filter Flow for Space-Variant Multiframe Blind Deconvolution (Technical Report of the Max Planck Institute for Biological Cybernetics, 188). Max Planck Institute for Biological Cybernetics, Tübingen, Germany (2009), 9 S.
16305.
Bericht
Langovoy, M.; Wittich, O.: Detection of objects in noisy images and site percolation on square lattices (EURANDOM Reports, 2009-035). (2009), 14 S.
16306.
Bericht
Hosseini, R.; Bethge, M.: Spectral Stacking: Unbiased Shear Estimation for Weak Gravitational Lensing (Technical Report of the Max Planck Institute for Biological Cybernetics, 186). Max Planck Institute for Biological Cybernetics, Tübingen, Germany (2009), 9 S.
16307.
Bericht
Langovoy, M.: Algebraic polynomials and moments of stochastic integrals (EURANDOM Reports, 2009-031). (2009)
16308.
Bericht
Gretton, A.; Györfi, L.: Consistent Nonparametric Tests of Independence (Technical Report of the Max Planck Institute for Biological Cybernetics, 172). Max Planck Institute for Biological Cybernetics, Tübingen, Germany (2009), 35 S.
16309.
Bericht
Hennig, P.: Expectation Propagation on the Maximum of Correlated Normal Variables. (2009), 11 S.
16310.
Bericht
Shelton, J.; Blaschko, M.; Bartels, A.: Semi-supervised subspace analysis of human functional magnetic resonance imaging data (Technical Report of the Max Planck Institute for Biological Cybernetics, 185). Max Planck Institute for Biological Cybernetics, Tübingen, Germany (2009), 10 S.
16311.
Bericht
Berens, P.; Velasco, M.: The circular statistics toolbox for Matlab (Technical Report of the Max Planck Institute for Biological Cybernetics, 184). Max Planck Institute for Biological Cybernetics, Tübingen, Germany (2009), 9 S.
16312.
Bericht
Langovoy, M.: Model selection, large deviations and consistency of data-driven tests (EURANDOM Reports, 2009-007). (2009), 30 S.
16313.
Bericht
Macke, J.; Opper, M.; Bethge, M.: The effect of pairwise neural correlations on global population statistics (Technical Report Max Planck Institute for Biological Cybernetics, 183). Max Planck Institute for Biological Cybernetics, Tübingen, Germany (2009), 21 S.
16314.
Bericht
Berger, D.: Scene scaling during simulated forward accelerations: Are explicit size cues used? (Technical Report of the Max Planck Institute for Biological Cybernetics, 182). Max Planck Institute for Biological Cybernetics, Tübingen, Germany (2009), 14 S.
16315.
Bericht
Franchi, A.; Oriolo, G.; Stegagno, P.: Mutual localization in a multi-robot system with anonymous relative position measures. (2009)
16316.
Bericht
Blaschko, M.; Gretton, A.: Taxonomy Inference Using Kernel Dependence Measures (Technical Report of the Max Planck Institute for Biological Cybernetics, 181). Max Planck Institute for Biological Cybernetics, Tübingen, Germany (2008), 11 S.
16317.
Bericht
Giesen, J.; Maier, M.; Schölkopf, B.: Simultaneous Implicit Surface Reconstruction and Meshing (Technical Report of the Max Planck Institute for Biological Cybernetics, 179). Max Planck Institute for Biological Cybernetics, Tübingen, Germany (2008), 11 S.
16318.
Bericht
Nowozin, S.; Tsuda, K.: Frequent Subgraph Retrieval in Geometric Graph Databases (Technical Report of the Max Planck Institute for Biological Cybernetics, 180). Max Planck Institute for Biological Cybernetics, Tübingen, Germany (2008), 13 S.
16319.
Bericht
Gehler, P.; Nowozin, S.: Infinite Kernel Learning (Technical Report of the Max Planck Institute for Biological Cybernetics, 178). Max Planck Institute for Biological Cybernetics, Tübingen, Germany (2008), 12 S.
16320.
Bericht
Seeger, M.; Nickisch, H.: Large Scale Variational Inference and Experimental Design for Sparse Generalized Linear Models (Technical Report of the Max Planck Institute for Biological Cybernetics, 175). Max Planck Institute for Biological Cybernetics, Tübingen, Germany (2008), 34 S.
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