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

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 S.

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 S.

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 S.

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 S.

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

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 S.

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 S.

Brud, A.: Assessment of Intracellular Targets with MRI. CMST COST Action D38: Metal-Based Systems for Molecular Imaging Applications, Tübingen, Germany (2010)

Engelmann, J.: Intracellular Targeting Agents. (2009), 65 S.

Nickisch, H.; Kohli, P.; Rother, C.: Learning an Interactive Segmentation System. Max Planck Institute for Biological Cybernetics, Tübingen, Germany (2009), 11 S.

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.

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.

Langovoy, M.; Wittich, O.: Detection of objects in noisy images and site percolation on square lattices (EURANDOM Reports, 2009-035). (2009), 14 S.

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.

Langovoy, M.: Algebraic polynomials and moments of stochastic integrals (EURANDOM Reports, 2009-031). (2009)

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.

Hennig, P.: Expectation Propagation on the Maximum of Correlated Normal Variables. (2009), 11 S.

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.

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.