Search results

Talk (1)

21.
Talk
Wu, M.; Schölkopf, B.; BakIr, G.: Building Sparse Large Margin Classifiers. The 22nd International Conference on Machine Learning (ICML 2005), Bonn, Germany (2005)

Poster (2)

22.
Poster
Bakir, G.; Ilg, W.; Franz, M.; Giese, M.: Constraints measures and reproduction of style in robot imitation learning. 6. Tübinger Wahrnehmungskonferenz (TWK 2003), Tübingen, Germany (2003)
23.
Poster
Ilg, W.; Bakir, G.; Franz, M.; Giese, M.: A Representation of Complex Movement Sequences Based on Hierarchical Spatio-Temporal Correspondence for Imitation Learning in Robotics. 6. Tübinger Wahrnehmungskonferenz (TWK 2003), Tübingen, Germany (2003)

Report (3)

24.
Report
Bakır, G.; Wu, M.; Eichhorn, J.: Maximum-Margin Feature Combination for Detection and Categorization. Max Planck Institute for Biological Cybernetics, Tübingen, Germany (2005), 8 pp.
25.
Report
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 pp.
26.
Report
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 pp.
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