Gökhan H. Bakir

According to our database, Gökhan H. Bakir authored at least 16 papers between 2003 and 2008.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2008

Fast logistic regression for text categorization with variable-length n-grams.

Georgiana Ifrim, Gökhan H. Bakir, Gerhard Weikum

Proceedings of the 14th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2008

A decoupled approach to exemplar-based unsupervised learning.

Sebastian Nowozin, Gökhan H. Bakir

Proceedings of the Machine Learning, 2008

2007

On the Simplification of an Examples-Based controller with Support Vector Machines.

Armin Shmilovici, Gökhan H. Bakir, A. Figueras, José Lluís de la Rosa

Control. Intell. Syst., 2007

Discriminative Subsequence Mining for Action Classification.

Sebastian Nowozin, Gökhan H. Bakir, Koji Tsuda

Proceedings of the IEEE 11th International Conference on Computer Vision, 2007

Weighted Substructure Mining for Image Analysis.

Sebastian Nowozin, Koji Tsuda, Takeaki Uno, Taku Kudo, Gökhan H. Bakir

Proceedings of the 2007 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR 2007), 2007

2006

A Direct Method for Building Sparse Kernel Learning Algorithms.

Mingrui Wu, Bernhard Schölkopf, Gökhan H. Bakir

J. Mach. Learn. Res., 2006

2005

Building Sparse Large Margin Classifiers.

Mingrui Wu, Bernhard Schölkopf, Gökhan H. Bakir

Proceedings of the Machine Learning, 2005

2004

Foundations of Wavelet Networks and Applications: S. Sitharama Iyengar, E. C. Cho, Vir V. Phoho; Chapman and Hall/CRC.

Gökhan H. Bakir

Neural Networks, 2004

On the Representation, Learning and Transfer of Spatio-Temporal Movement Characteristics.

Winfried Ilg, Gökhan H. Bakir, Johannes Mezger, Martin A. Giese

Int. J. Humanoid Robotics, 2004

Face Detection - Efficient and Rank Deficient.

Wolf Kienzle, Gökhan H. Bakir, Matthias O. Franz, Bernhard Schölkopf

Proceedings of the Advances in Neural Information Processing Systems 17 [Neural Information Processing Systems, 2004

Breaking SVM Complexity with Cross-Training.

Gökhan H. Bakir, Léon Bottou, Jason Weston

Proceedings of the Advances in Neural Information Processing Systems 17 [Neural Information Processing Systems, 2004

Learning Depth from Stereo.

Fabian H. Sinz, Joaquin Quiñonero Candela, Gökhan H. Bakir, Carl Edward Rasmussen, Matthias O. Franz

Proceedings of the Pattern Recognition, 26th DAGM Symposium, August 30, 2004

Efficient Approximations for Support Vector Machines in Object Detection.

Wolf Kienzle, Gökhan H. Bakir, Matthias O. Franz, Bernhard Schölkopf

Proceedings of the Pattern Recognition, 26th DAGM Symposium, August 30, 2004

Learning to Find Graph Pre-images.

Gökhan H. Bakir, Alexander Zien, Koji Tsuda

Proceedings of the Pattern Recognition, 26th DAGM Symposium, August 30, 2004

Multivariate Regression via Stiefel Manifold Constraints.

Gökhan H. Bakir, Arthur Gretton, Matthias O. Franz, Bernhard Schölkopf

Proceedings of the Pattern Recognition, 26th DAGM Symposium, August 30, 2004

2003

Learning to Find Pre-Images.

Gökhan H. Bakir, Jason Weston, Bernhard Schölkopf

Proceedings of the Advances in Neural Information Processing Systems 16 [Neural Information Processing Systems, 2003