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Nobody
Gökhan BakIr
Dr.
Position: Research Scientist
Room no.: 203

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2008
Conference Papers
  • S. Nowozin, G. BakIr (2008). A Decoupled Approach to Exemplar-based Unsupervised Learning In: ICML 2008, (Ed) Cohen, W. W., A. McCallum, S. Roweis, Proceedings of the 25th International Conference on Machine Learning (ICML 2008), ACM Press, New York, NY, USA, 704-711, 25th International Conference on Machine Learning
2007
Conference Papers
  • S. Nowozin, K. Tsuda, T. Uno, T. Kudo, G. BakIr (2007). Weighted Substructure Mining for Image Analysis In: CVPR 2007, Proceedings of the 2007 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR 2007), IEEE Computer Society, Los Alamitos, CA, USA, 1-8, 2007 IEEE Computer Society Conference on Computer Vision and Pattern Recognition
  • S. Nowozin, G. BakIr, K. Tsuda (2007). Discriminative Subsequence Mining for Action Classification In: ICCV 2007, Proceedings of the 11th IEEE International Conference on Computer Vision (ICCV 2007), IEEE Computer Society, Los Alamitos, CA, USA, 1919-1923, 11th IEEE International Conference on Computer Vision
Contributions to books
  • G. BakIr, B. Schölkopf, J. Weston (2007). On the Pre-Image Problem in Kernel Methods In: Kernel Methods in Bioengineering, Signal and Image Processing, (Ed) G Camps-Valls and JL Rojo-Álvarez and M Martínez-Ramón, Idea Group Publishing, Hershey, PA, USA, 284-302
2006
Articles
2005
Conference Papers
  • M. Wu, B. Schölkopf, G. BakIr (2005). Building Sparse Large Margin Classifiers In: Proceedings of the 22nd International Conference on Machine Learning, (Ed) L De Raedt and S Wrobel , Proceedings of the 22nd International Conference on Machine Learning (ICML 2005), ACM, New York, NY, USA, 996-1003, ICML 2005
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  • W. Kienzle, G. BakIr, M. Franz, B. Schölkopf (2005). Face Detection: Efficient and Rank Deficient In: Advances in Neural Information Processing Systems 17, (Ed) LK Saul and Y Weiss and L Bottou, Advances in Neural Information Processing Systems, MIT Press, Cambridge, MA, USA, 673-680, ISBN: 0-262-19534-8, 18th Annual Conference on Neural Information Processing Systems (NIPS 2004)
Talks
Theses
  • G. BakIr (2005). Extension to Kernel Dependency Estimation with Applications to Robotics Technische Universität Berlin, Berlin
Technical Reports
2004
Conference Papers
  • F. Sinz, JQ. Candela, G. BakIr, CE. Rasmussen, M. Franz (2004). Learning Depth From Stereo In: 26th DAGM Symposium, (Ed) Rasmussen, C. E., H. H. Bülthoff, B. Schölkopf, M. A. Giese, Pattern Recognition: 26th DAGM Symposium, Springer, Deutsche Arbeitsgemeinschaft für Mustererkennung e.V., Berlin, Germany, 245-252, 26th DAGM Symposium
  • W. Kienzle, G. BakIr, M. Franz, B. Schölkopf (2004). Efficient Approximations for Support Vector Machines in Object Detection In: DAGM 2004, (Ed) CE Rasmussen and HH Bülthoff and B Schölkopf and MA Giese, Pattern Recognition, Proceedings of the 26th DAGM Symposium, Springer, Berlin, Germany, 54-61, Pattern Recognition, Proceedings of the 26th DAGM Symposium
  • G. BakIr, A. Gretton, M. Franz, B. Schölkopf (2004). Multivariate Regression via Stiefel Manifold Constraints In: Lecture Notes in Computer Science, Vol. 3175, (Ed) CE Rasmussen and HH Bülthoff and B Schölkopf and MA Giese, Pattern Recognition, Proceedings of the 26th DAGM Symposium, Springer, Berlin, Germany, 262-269, Pattern Recognition, Proceedings of the 26th DAGM Symposium
  • G. BakIr, A. Zien, K. Tsuda (2004). Learning to Find Graph Pre-Images In: Pattern Recognition, (Ed) Rasmussen, C. E., H. H. Bülthoff, B. Schölkopf, M. A. Giese, Pattern Recognition: Proceedings of the 26th DAGM Symposium, Springer, Berlin, Germany, 253-261, 26th DAGM Symposium