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Publications of Author

1. Gökhan H. Bakir, Arthur Gretton, Matthias O. Franz, Bernhard Schölkopf
   Multivariate Regression via Stiefel Manifold Constraints. [Citation Graph (0, 0)][DBLP]
   DAGM-Symposium, 2004, pp:262-269 [Conf]
   
2. Gökhan H. Bakir, Alexander Zien, Koji Tsuda
   Learning to Find Graph Pre-images. [Citation Graph (0, 0)][DBLP]
   DAGM-Symposium, 2004, pp:253-261 [Conf]
   
3. Wolf Kienzle, Gökhan H. Bakir, Matthias O. Franz, Bernhard Schölkopf
   Efficient Approximations for Support Vector Machines in Object Detection. [Citation Graph (0, 0)][DBLP]
   DAGM-Symposium, 2004, pp:54-61 [Conf]
   
4. Fabian H. Sinz, Joaquin Quiñonero Candela, Gökhan H. Bakir, Carl Edward Rasmussen, Matthias O. Franz
   Learning Depth from Stereo. [Citation Graph (0, 0)][DBLP]
   DAGM-Symposium, 2004, pp:245-252 [Conf]
   
5. Mingrui Wu, Bernhard Schölkopf, Gökhan H. Bakir
   Building Sparse Large Margin Classifiers. [Citation Graph (0, 0)][DBLP]
   ICML, 2005, pp:996-1003 [Conf]
   
6. Gökhan H. Bakir, Léon Bottou, Jason Weston
   Breaking SVM Complexity with Cross-Training. [Citation Graph (0, 0)][DBLP]
   NIPS, 2004, pp:- [Conf]
   
7. Gökhan H. Bakir, Jason Weston, Bernhard Schölkopf
   Learning to Find Pre-Images. [Citation Graph (0, 0)][DBLP]
   NIPS, 2003, pp:- [Conf]
   
8. Wolf Kienzle, Gökhan H. Bakir, Matthias O. Franz, Bernhard Schölkopf
   Face Detection - Efficient and Rank Deficient. [Citation Graph (0, 0)][DBLP]
   NIPS, 2004, pp:- [Conf]
   
9. Mingrui Wu, Bernhard Schölkopf, Gökhan H. Bakir
   A Direct Method for Building Sparse Kernel Learning Algorithms. [Citation Graph (0, 0)][DBLP]
   Journal of Machine Learning Research, 2006, v:7, n:, pp:603-624 [Journal]
   
10. Gökhan H. Bakir
    Foundations of Wavelet Networks and Applications: S. Sitharama Iyengar, E. C. Cho, Vir V. Phoho; Chapman and Hall/CRC. [Citation Graph (0, 0)][DBLP]
    Neural Networks, 2004, v:17, n:3, pp:459- [Journal]
    
11. Sebastian Nowozin, Koji Tsuda, Takeaki Uno, Taku Kudo, Gökhan H. Bakir
    Weighted Substructure Mining for Image Analysis. [Citation Graph (0, 0)][DBLP]
    CVPR, 2007, pp:- [Conf]
    
12. 
    Discriminative Subsequence Mining for Action Classification. [Citation Graph (, )][DBLP]
    
    
13. 
    A decoupled approach to exemplar-based unsupervised learning. [Citation Graph (, )][DBLP]
    
    
14. 
    Fast logistic regression for text categorization with variable-length n-grams. [Citation Graph (, )][DBLP]
    
    
15. 
    Weighted Substructure Mining for Image Analysis. [Citation Graph (, )][DBLP]