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Schuler, C.; Hirsch, M.; Harmeling, S.; Schölkopf, B.: Non-stationary Correction of Optical Aberrations (Technical Report of the Max Planck Institute for Intelligent Systems, 1). Max Planck Institute for Intelligent Systems, Tübingen, Germany (2011), 9 pp.

Seldin, Y.; Laciolette, F.; Shaw-Taylor, J.; Peters, J.; Auer, P.: PAC-Bayesian Analysis of Martingales and Multiarmed Bandits. Max Planck Institute for Biological Cybernetics, Tübingen, Germany (2011), 13 pp.

Nickisch, H.; Seeger, M.: Multiple Kernel Learning: A Unifying Probabilistic Viewpoint. Max Planck Institute for Biological Cybernetics, Tübingen, Germany (2011), 12 pp.

Barnett-Cowan, M.; Soyka, F.; Zaichik, L.; Groen, E.; Ledegang , W.; de Mena, M.: Analysis of perception data and motion perception criteria (7th Framework Program EU IP 233543: Simulation of UPset Recovery in Aviation, SUPRA D4.2). (2011)

Barnett-Cowan, M.; Soyka, F.; Zaichik L, Groen E, Ledegang, W.; de Mena, M.: Analysis of perception data and motion perception criteria. (2011)

Beykirch, K.; Barnett-Cowan, M.; Zaichik, L.; Bos, J.; Ledegang, W.: Development of add-on perception model (SUPRA D4.3, 7th Framework Program EU IP 233543: Simulation of UPset Recovery in Aviation, SUPRA D4.3). (2011)

Beykirch, M.; Soyka, F.; Barnett-Cowan, M.: Evaluation of the baseline perception models and required amendments (7th Framework Program EU IP 233543: Simulation of UPset Recovery in Aviation, SUPRA D4.1). (2011)

Langovoy, M.; Wittich, O.: Multiple testing, uncertainty and realistic pictures (EURANDOM Preprint Series, 2011-004). (2011), 21 pp.

Wentink, M.; Nooij, S.; Zaichik, L.; Smaili, H.: Optimized Motion Driving Algorithms in Matlab/Simulink (Simulation of Upset Recovery in Aviation (SUPRA), EU Grant 233543, SUPRA Report 5.2). (2011)

Langovoy, M.; Wittich, O.: Computationally efficient algorithms for statistical image processing: Implementation in R (Eurandom Preprint Series, 2010-053). EURANDOM, Eindhoven, The Netherlands (2010), 24 pp.

Seeger, M.; Nickisch, H.: Fast Convergent Algorithms for Expectation Propagation Approximate Bayesian Inference. Max Planck Institute for Biological Cybernetics, Tübingen, Germany (2010), 16 pp.

Langovoy, M.; Wittich, O.: Robust nonparametric detection of objects in noisy images (Eurandom Preprint Series, 2010-049). EURANDOM, Eindhoven, The Netherlands (2010), 21 pp.

Seldin, Y.: A PAC-Bayesian Analysis of Graph Clustering and Pairwise Clustering. Max Planck Institute for Biological Cybernetics, Tübingen, Germany (2010), 9 pp.

Tandon, R.; Sra, S.: Sparse nonnegative matrix approximation: new formulations and algorithms (Technical Report of the Max Planck Institute for Biological Cybernetics, 193). Max Planck Institute for Biological Cybernetics, Tübingen, Germany (2010), 19 pp.

Barbero Jimenez, A.; Sra, S.: Fast algorithms for total-variation based optimization (Technical Report of the Max Planck Institute for Biological Cybernetics, 194). Max Planck Institute for Biological Cybernetics, Tübingen, Germany (2010), 27 pp.

Jegelka, S.; Bilmes, J.: Cooperative Cuts for Image Segmentation (UWEE Technical Report, UWEETR-1020-0003). Department of Electrical Engineering, University of Washington, Seattle, WA, USA (2010), 21 pp.

Seeger, M.; Nickisch, H.: Large Scale Variational Inference and Experimental Design for Sparse Generalized Linear Models. Max Planck Institute for Biological Cybernetics, Tübingen, Germany (2010), 11 pp.

Nickisch, H.; Rasmussen, C.: Gaussian Mixture Modeling with Gaussian Process Latent Variable Models. Max Planck Institute for Biological Cybernetics, Tübingen, Germany (2010), 10 pp.

Sra, S.: Generalized Proximity and Projection with Norms and Mixed-norms (Technical Report of the Max Planck Institute for Biological Cybernetics, 192). Max Planck Institute for Biological Cybernetics, Tübingen, Germany (2010), 13 pp.

Jegelka, S.; Bilmes, J.: Cooperative Cuts: Graph Cuts with Submodular Edge Weights (Technical Report of the Max Planck Institute for Biological Cybernetics, 189). Max Planck Institute for Biological Cybernetics, Tübingen, Germany (2010), 32 pp.