Gökhan H. Bakir

17 papers A* 5Journal 4Unranked 8
YearRankTypeTitle / Venue / Authors
2008 A* conf
A decoupled approach to exemplar-based unsupervised learning.
ICML
Sebastian Nowozin, Gökhan H. Bakir
2008 A* conf
Fast logistic regression for text categorization with variable-length n-grams.
KDD
Georgiana Ifrim, Gökhan H. Bakir, Gerhard Weikum
2007 A* conf
Discriminative Subsequence Mining for Action Classification.
ICCV
Sebastian Nowozin, Gökhan H. Bakir, Koji Tsuda
2007 J jnl
On the Simplification of an Examples-Based controller with Support Vector Machines.
Control. Intell. Syst.
Armin Shmilovici, Gökhan H. Bakir, A. Figueras, José Lluís de la Rosa
2007 A* conf
Weighted Substructure Mining for Image Analysis.
CVPR
Sebastian Nowozin, Koji Tsuda, Takeaki Uno, Taku Kudo, Gökhan H. Bakir
2007 — conf
Weighted Substructure Mining for Image Analysis.
MLG
Sebastian Nowozin, Koji Tsuda, Takeaki Uno, Taku Kudo, Gökhan H. Bakir
2006 J jnl
A Direct Method for Building Sparse Kernel Learning Algorithms.
J. Mach. Learn. Res.
Mingrui Wu, Bernhard Schölkopf, Gökhan H. Bakir
2005 A* conf
Building Sparse Large Margin Classifiers.
ICML
Mingrui Wu, Bernhard Schölkopf, Gökhan H. Bakir
2004 — conf
Breaking SVM Complexity with Cross-Training.
NIPS
Gökhan H. Bakir, Léon Bottou, Jason Weston
2004 — conf
Efficient Approximations for Support Vector Machines in Object Detection.
DAGM-Symposium
Wolf Kienzle, Gökhan H. Bakir, Matthias O. Franz, Bernhard Schölkopf
2004 — conf
Face Detection - Efficient and Rank Deficient.
NIPS
Wolf Kienzle, Gökhan H. Bakir, Matthias O. Franz, Bernhard Schölkopf
2004 J jnl
Foundations of Wavelet Networks and Applications: S. Sitharama Iyengar, E. C. Cho, Vir V. Phoho; Chapman and Hall/CRC.
Neural Networks
Gökhan H. Bakir
2004 — conf
Learning Depth from Stereo.
DAGM-Symposium
Fabian H. Sinz, Joaquin Quiñonero Candela, Gökhan H. Bakir, Carl Edward Rasmussen, Matthias O. Franz
2004 — conf
Learning to Find Graph Pre-images.
DAGM-Symposium
Gökhan H. Bakir, Alexander Zien, Koji Tsuda
2004 — conf
Multivariate Regression via Stiefel Manifold Constraints.
DAGM-Symposium
Gökhan H. Bakir, Arthur Gretton, Matthias O. Franz, Bernhard Schölkopf
2004 J jnl
On the Representation, Learning and Transfer of Spatio-Temporal Movement Characteristics.
Int. J. Humanoid Robotics
Winfried Ilg, Gökhan H. Bakir, Johannes Mezger, Martin A. Giese
2003 — conf
Learning to Find Pre-Images.
NIPS
Gökhan H. Bakir, Jason Weston, Bernhard Schölkopf