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ORCIDGökhan H. Bakir
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2000 – 2009
- 2008
[c13]Sebastian Nowozin, Gökhan H. Bakir:
A decoupled approach to exemplar-based unsupervised learning. ICML 2008: 704-711- [c12]Georgiana Ifrim
, Gökhan H. Bakir, Gerhard Weikum:
Fast logistic regression for text categorization with variable-length n-grams. KDD 2008: 354-362 - 2007
- [j4]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) - [c11]Sebastian Nowozin, Koji Tsuda, Takeaki Uno, Taku Kudo, Gökhan H. Bakir:
Weighted Substructure Mining for Image Analysis. CVPR 2007 - [c10]Sebastian Nowozin, Gökhan H. Bakir, Koji Tsuda:
Discriminative Subsequence Mining for Action Classification. ICCV 2007: 1-8 - [c9]Sebastian Nowozin, Koji Tsuda, Takeaki Uno, Taku Kudo, Gökhan H. Bakir:
Weighted Substructure Mining for Image Analysis. MLG 2007 - 2006
- [j3]Mingrui Wu, Bernhard Schölkopf, Gökhan H. Bakir:
A Direct Method for Building Sparse Kernel Learning Algorithms. J. Mach. Learn. Res. 7: 603-624 (2006) - 2005
- [c8]Mingrui Wu, Bernhard Schölkopf, Gökhan H. Bakir:
Building Sparse Large Margin Classifiers. ICML 2005: 996-1003 - 2004
- [j2]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): 613-636 (2004) - [j1]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): 459 (2004) - [c7]Wolf Kienzle, Gökhan H. Bakir, Matthias O. Franz, Bernhard Schölkopf:
Efficient Approximations for Support Vector Machines in Object Detection. DAGM-Symposium 2004: 54-61 - [c6]Fabian H. Sinz, Joaquin Quiñonero Candela, Gökhan H. Bakir, Carl Edward Rasmussen, Matthias O. Franz:
Learning Depth from Stereo. DAGM-Symposium 2004: 245-252 - [c5]Gökhan H. Bakir, Alexander Zien, Koji Tsuda:
Learning to Find Graph Pre-images. DAGM-Symposium 2004: 253-261 - [c4]Gökhan H. Bakir, Arthur Gretton, Matthias O. Franz, Bernhard Schölkopf:
Multivariate Regression via Stiefel Manifold Constraints. DAGM-Symposium 2004: 262-269 - [c3]Gökhan H. Bakir, Léon Bottou, Jason Weston:
Breaking SVM Complexity with Cross-Training. NIPS 2004: 81-88 - [c2]Wolf Kienzle, Gökhan H. Bakir, Matthias O. Franz, Bernhard Schölkopf:
Face Detection - Efficient and Rank Deficient. NIPS 2004: 673-680 - 2003
- [c1]Gökhan H. Bakir, Jason Weston, Bernhard Schölkopf:
Learning to Find Pre-Images. NIPS 2003: 449-456
Coauthor Index
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