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Report (301)

13501.
Report
Langovoy, M.: Model selection, large deviations and consistency of data-driven tests (EURANDOM Reports, 2009-007). (2009), 30 pp.
13502.
Report
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 pp.
13503.
Report
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 pp.
13504.
Report
Franchi, A.; Oriolo, G.; Stegagno, P.: Mutual localization in a multi-robot system with anonymous relative position measures. (2009)
13505.
Report
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 pp.
13506.
Report
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 pp.
13507.
Report
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 pp.
13508.
Report
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 pp.
13509.
Report
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 pp.
13510.
Report
Sra, S.: Block-Iterative Algorithms for Non-Negative Matrix Approximation (Technical Report of the Max Planck Institute for Biological Cybernetics, 176). Max Planck Institute for Biological Cybernetics, Tübingen, Germany (2008), 16 pp.
13511.
Report
Sra, S.; Jegelka, S.; Banerjee, A.: Approximation Algorithms for Bregman Clustering Co-clustering and Tensor Clustering (Technical Report of the Max Planck Institute for Biological Cybernetics, 177). Max Planck Institute for Biological Cybernetics, Tübingen, Germany (2008), 21 pp.
13512.
Report
Dhillon, P.; Nowozin, S.; Lampert, C.: Combining Appearance and Motion for Human Action Classification in Videos (Technical Report of the Max Planck Institute for Biological Cybernetics, 174). Max Planck Institute for Biological Cybernetics, Tübingen, Germany (2008), 10 pp.
13513.
Report
Kim, K.; Kwon, Y.: Example-based Learning for Single-image Super-resolution and JPEG Artifact Removal (Technical Report of the Max Planck Institute for Biological Cybernetics, 173). Max Planck Institute for Biological Cybernetics, Tübingen, Germany (2008), 28 pp.
13514.
Report
Chiappa, S.: Unsupervised Bayesian Time-series Segmentation based on Linear Gaussian State-space Models (Technical Report of the Max Planck Institute for Biological Cybernetics, 171). Max Planck Institute for Biological Cybernetics, Tübingen, Germany (2008)
13515.
Report
Kim, D.; Sra, S.; Dhillon, I.: A New Non-monotonic Gradient Projection Method for the Non-negative Least Squares Problem. University of Texas: Computer Sciences, Austin, TX, USA (2008)
13516.
Report
Sra, S.; Kim, D.; Schölkopf, B.: Non-monotonic Poisson Likelihood Maximization (Technical Report of the Max Planck Institute for Biological Cybernetics, 170). Max Planck Institute for Biological Cybernetics, Tübingen, Germany (2008), 18 pp.
13517.
Report
Gretton, A.; Borgwardt, K.; Rasch, M.; Schölkopf, B.; Smola, A.: A Kernel Method for the Two-sample Problem (Technical Report of the Max Planck Institute for Biological Cybernetics, 157). Max Planck Institute for Biological Cybernetics, Tübingen, Germany (2008), 44 pp.
13518.
Report
Sinz, F.; Bethge, M.: How Much Can Orientation Selectivity and Contrast Gain Control Reduce the Redundancies in Natural Images (Technical Report of the Max Planck Institute for Biological Cybernetics, 169). Max Planck Institute for Biological Cybernetics, Tübingen, Germany (2008), 28 pp.
13519.
Report
Hein, M.; Steinke, F.; Schölkopf, B.: Energy Functionals for Manifold-valued Mappings and Their Properties (Technical Report of the Max Planck Institute for Biological Cybernetics, 167). Max Planck Institute for Biological Cybernetics, Tübingen, Germany (2008), 13 pp.
13520.
Report
Harmeling, S.; Touissant, M.: Bayesian Estimators for Robins-Ritov's Problem. School of Informatics, University of Edinburgh, Edinburgh, UK (2007), 12 pp.
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