Suchergebnisse

Fukumizu, K.; Bach, F.; Gretton, A.: Consistency of Kernel Canonical Correlation Analysis. Institute of Statistical Mathematics, Tokyo, Japan (2005), 22 S.

Gretton, A.; Bousquet, O.; Smola, A.; Schölkopf, B.: Measuring Statistical Dependence with Hilbert-Schmidt Norms (Technical Report of the Max Planck Institute for Biological Cybernetics, 140). Max Planck Institute for Biological Cybernetics, Tübingen, Germany (2005), 16 S.

Chandramouli, C.; Thornton, I.; Bülthoff, H.: Selective Attention and Biological Motion (Technical Report of the Max Planck Institute for Biological Cybernetics, 139). Max Planck Institute for Biological Cybernetics, Tübingen, Germany (2005), 13 S.

Kuss, M.; Pfingsten, T.; Csato, L.; Rasmussen, C.: Approximate Inference for Robust Gaussian Process Regression (Technical Report of the Max Planck Institute for Biological Cybernetics, 136). Max Planck Institute for Biological Cybernetics, Tübingen, Germany (2005), 27 S.

Bakır, G.; Wu, M.; Eichhorn, J.: Maximum-Margin Feature Combination for Detection and Categorization. Max Planck Institute for Biological Cybernetics, Tübingen, Germany (2005), 8 S.

Bos, J.; Groen, E.; Nooij, S.: Further thoughts on and calculations by spatial orientation an motion sickness modeling. Toegepast Natuurwetenschappelijk Onderzoek (TNO) Human Factors, Soesterberg, The Netherlands (2005)

Kuss, M.; Jäkel, F.; Wichmann, F.: Approximate Bayesian Inference for Psychometric Functions using MCMC Sampling (Technical Report of the Max Planck Institute for Biological Cybernetics, 135). Max Planck Institute for Biological Cybernetics, Tübingen, Germany (2005), 30 S.

Nooij, S.; Bos, J.; Groen, E.: Persoonsidentificatie d.m.v. oogbewegingen: een haalbaarheidsstudie. Toegepast Natuurwetenschappelijk Onderzoek (TNO) Human Factors, Soesterberg, The Netherlands (2005)

von Luxburg, U.; Belkin, M.; Bousquet, O.: Consistency of Spectral Clustering (Technical Report of the Max Planck Institute for Biological Cybernetics, 134). Max Planck Institute for Biological Cybernetics, Tübingen, Germany (2004), 34 S.

von Luxburg, U.; Franz, V.: Confidence Sets for Ratios: A Purely Geometric Approach To Fieller's Theorem (Technical Report of the Max Planck Institute for Biological Cybernetics, 133). Max Planck Institute for Biological Cybernetics, Tübingen, Germany (2004), 11 S.

Weston, J.; Bakir, G.: Fast Binary and Multi-Output Reduced Set Selection (Technical Report of the Max Planck Institute for Biological Cybernetics, 132). Max Planck Institute for Biological Cybernetics, Tübingen, Germany (2004), 12 S.

Weston, J.; Schölkopf, B.; Bousquet, O.; Mann; Noble, W.: Joint Kernel Maps (Technical Report of the Max Planck Institute for Biological Cybernetics, 131). Max Planck Institute for Biological Cybernetics, Tübingen, Germany (2004), 9 S.

Gretton, A.; Smola, A.; Bousquet, O.; Herbrich, R.; Schölkopf, B.; Logothetis, N.: Behaviour and Convergence of the Constrained Covariance (Technical Report of the Max Planck Institute for Biological Cybernetics, 130). Max Planck Institute for Biological Cybernetics, Tübingen, Germany (2004), 18 S.

Jayachandra, M.; Logothetis, N.; Pfeuffer, J.: Comparison of experimental and theoretical spiral MR trajectories (Technical Report of the Max Planck Institute for Biological Cybernetics, 129). Max Planck Institute for Biological Cybernetics, Tübingen, Germany (2004), 20 S.

Shapiro, M.; Blaschko, M.: On Hausdorff Distance Measures. University of Massachusetts Amherst, Amherst, MA, USA (2004)

Yu, K.; Tresp, V.; Zhou, D.: Semi-Supervised Induction (Technical Report of the Max Planck Institute for Biological Cybernetics, 141). Max Planck Institute for Biological Cybernetics, Tübingen, Germany (2004), 9 S.

Zhou, D.; Schölkopf, B.: Transductive Inference with Graphs. Max Planck Institute for Biological Cybernetics, Tübingen, Germany (2004), 8 S.

Bakir, G.; Gretton, A.; Franz, M.; Schölkopf, B.: Multivariate Regression with Stiefel Constraints (Max Planck Institute for Biological Cybernetics, 128). Max Planck Institute for Biological Cybernetics, Tübingen, Germany (2004), 25 S.

Eichhorn, J.; Chapelle, O.: Object categorization with SVM: kernels for local features (Technical Report of the Max Planck Institute for Biological Cybernetics, 137). Max Planck Institute for Biological Cybernetics, Tübingen, Germany (2004), 9 S.

Hein, M.; Bousquet, O.: Hilbertian Metrics and Positive Definite Kernels on Probability Measures (Max Planck Institute for Biological Cybernetics, 126). Max Planck Institute for Biological Cybernetics, Tübingen, Germany (2004), 8 S.