Suchergebnisse

Bericht (312)

15821.
Bericht
Smaili, H.; Field, J.; Nooij, S.; Ledegang, W.; Wentink, W.; Groen, E.; Zaichik, L.: Evaluation report of the analysis of simulator trials. Simulation of Upset Recovery in Aviation (SUPRA), EU Grant 23354 (2012)
15822.
Bericht
Wentink, M.; Nooij, S.; Zaichik, L.; Smaili, H.: Motion cueing for upset recovery simulation. Simulation of Upset Recovery in Aviation (SUPRA), EU Grant 23354 (2012)
15823.
Bericht
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 S.
15824.
Bericht
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 S.
15825.
Bericht
Nickisch, H.; Seeger, M.: Multiple Kernel Learning: A Unifying Probabilistic Viewpoint. Max Planck Institute for Biological Cybernetics, Tübingen, Germany (2011), 12 S.
15826.
Bericht
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)
15827.
Bericht
Barnett-Cowan, M.; Soyka, F.; Zaichik L, Groen E, Ledegang, W.; de Mena, M.: Analysis of perception data and motion perception criteria. (2011)
15828.
Bericht
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)
15829.
Bericht
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)
15830.
Bericht
Langovoy, M.; Wittich, O.: Multiple testing, uncertainty and realistic pictures (EURANDOM Preprint Series, 2011-004). (2011), 21 S.
15831.
Bericht
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)
15832.
Bericht
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 S.
15833.
Bericht
Seeger, M.; Nickisch, H.: Fast Convergent Algorithms for Expectation Propagation Approximate Bayesian Inference. Max Planck Institute for Biological Cybernetics, Tübingen, Germany (2010), 16 S.
15834.
Bericht
Langovoy, M.; Wittich, O.: Robust nonparametric detection of objects in noisy images (Eurandom Preprint Series, 2010-049). EURANDOM, Eindhoven, The Netherlands (2010), 21 S.
15835.
Bericht
Seldin, Y.: A PAC-Bayesian Analysis of Graph Clustering and Pairwise Clustering. Max Planck Institute for Biological Cybernetics, Tübingen, Germany (2010), 9 S.
15836.
Bericht
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.
15837.
Bericht
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.
15838.
Bericht
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.
15839.
Bericht
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.
15840.
Bericht
Nickisch, H.; Rasmussen, C.: Gaussian Mixture Modeling with Gaussian Process Latent Variable Models. Max Planck Institute for Biological Cybernetics, Tübingen, Germany (2010), 10 S.
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