Gökhan H. Bakir

Publication Activity (10 Years)

Years Active: 2003-2008
Publications (10 Years): 0

Publications

Georgiana Ifrim, Gökhan H. Bakir, Gerhard Weikum
Fast logistic regression for text categorization with variable-length n-grams. KDD (2008)
Sebastian Nowozin, Gökhan H. Bakir
A decoupled approach to exemplar-based unsupervised learning. ICML (2008)
Armin Shmilovici, Gökhan H. Bakir, A. Figueras, José Lluís de la Rosa
On the Simplification of an Examples-Based controller with Support Vector Machines. Control. Intell. Syst. 35 (1) (2007)
Sebastian Nowozin, Gökhan H. Bakir, Koji Tsuda
Discriminative Subsequence Mining for Action Classification. ICCV (2007)
Sebastian Nowozin, Koji Tsuda, Takeaki Uno, Taku Kudo, Gökhan H. Bakir
Weighted Substructure Mining for Image Analysis. MLG (2007)
Sebastian Nowozin, Koji Tsuda, Takeaki Uno, Taku Kudo, Gökhan H. Bakir
Weighted Substructure Mining for Image Analysis. CVPR (2007)
Mingrui Wu, Bernhard Schölkopf, Gökhan H. Bakir
A Direct Method for Building Sparse Kernel Learning Algorithms. J. Mach. Learn. Res. 7 (2006)
Mingrui Wu, Bernhard Schölkopf, Gökhan H. Bakir
Building Sparse Large Margin Classifiers. ICML (2005)
Gökhan H. Bakir, Léon Bottou, Jason Weston
Breaking SVM Complexity with Cross-Training. NIPS (2004)
Gökhan H. Bakir
Foundations of Wavelet Networks and Applications: S. Sitharama Iyengar, E. C. Cho, Vir V. Phoho; Chapman and Hall/CRC. Neural Networks 17 (3) (2004)
Winfried Ilg, Gökhan H. Bakir, Johannes Mezger, Martin A. Giese
On the Representation, Learning and Transfer of Spatio-Temporal Movement Characteristics. Int. J. Humanoid Robotics 1 (4) (2004)
Wolf Kienzle, Gökhan H. Bakir, Matthias O. Franz, Bernhard Schölkopf
Face Detection - Efficient and Rank Deficient. NIPS (2004)
Gökhan H. Bakir, Arthur Gretton, Matthias O. Franz, Bernhard Schölkopf
Multivariate Regression via Stiefel Manifold Constraints. DAGM-Symposium (2004)
Fabian H. Sinz, Joaquin Quiñonero Candela, Gökhan H. Bakir, Carl Edward Rasmussen, Matthias O. Franz
Learning Depth from Stereo. DAGM-Symposium (2004)
Wolf Kienzle, Gökhan H. Bakir, Matthias O. Franz, Bernhard Schölkopf
Efficient Approximations for Support Vector Machines in Object Detection. DAGM-Symposium (2004)
Gökhan H. Bakir, Alexander Zien, Koji Tsuda
Learning to Find Graph Pre-images. DAGM-Symposium (2004)
Gökhan H. Bakir, Jason Weston, Bernhard Schölkopf
Learning to Find Pre-Images. NIPS (2003)