Books (1): |
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Bakir GH  , Hofmann T  , Schölkopf B  , Smola AJ , Taskar B and Vishwanathan SVN : Predicting Structured Data, 360 pages, MIT Press, Cambridge, MA, USA, (2007).
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Articles (2): |
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Wu M , Schölkopf B and BakIr G (2006) A Direct Method for Building Sparse Kernel Learning Algorithms
Journal of Machine Learning Research 7 603-624.

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Ilg W , Bakir GH , Mezger J and Giese M (2004) On the representation, learning and transfer of spatio-temporal movement characteristics
International Journal of Humanoid Robotics 1(4) 613-636.
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Conference papers (13): |
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Nowozin S and BakIr G (2008) A Decoupled Approach to Exemplar-based Unsupervised Learning
In: ICML 2008, (Ed) Cohen, W. W., A. McCallum, S. Roweis, 25th International Conference on Machine Learning, ACM Press, New York, NY, USA, 704-711.
 
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Nowozin S , BakIr G and Tsuda K (2007) Discriminative Subsequence Mining for Action Classification
In: ICCV 2007, 11th IEEE International Conference on Computer Vision, IEEE Computer Society, Los Alamitos, CA, USA, 1919-1923.
 
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Nowozin S , Tsuda K , Uno T , Kudo T and BakIr G (2007) Weighted Substructure Mining for Image Analysis
In: CVPR 2007, 2007 IEEE Computer Society Conference on Computer Vision and Pattern Recognition, IEEE Computer Society, Los Alamitos, CA, USA, 1-8.

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Wu M , Schölkopf B and BakIr G (2005) Building Sparse Large Margin Classifiers
In: Proceedings of the 22nd International Conference on Machine Learning, (Ed) L De Raedt and S Wrobel, ICML 2005, ACM, New York, NY, USA, 996-1003.
  
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Bakir GH , Bottou L and Weston J (2005) Breaking SVM Complexity with Cross-Training
In: Advances in Neural Information Processing Systems 17, (Ed) Saul, L.K. , Y. Weiss, L. Bottou, Eighteenth Annual Conference on Neural Information Processing Systems (NIPS 2004), MIT Press, Cambridge, MA, USA, 81-88.

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Kienzle W , BakIr G , Franz M and Schölkopf B (2005) Face Detection: Efficient and Rank Deficient
In: Advances in Neural Information Processing Systems 17, (Ed) LK Saul, Y Weiss and L Bottou, 18th Annual Conference on Neural Information Processing Systems (NIPS 2004), MIT Press, Cambridge, MA, USA, 673-680.

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Sinz F , Candela JQ , BakIr G , Rasmussen CE and Franz M (2004) Learning Depth From Stereo
In: 26th DAGM Symposium, (Ed) Rasmussen, C. E., H. H. Bülthoff, B. Schölkopf, M. A. Giese, 26th DAGM Symposium, Springer, Berlin, Germany, 245-252.
 
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BakIr G , Zien A and Tsuda K (2004) Learning to Find Graph Pre-Images
In: Pattern Recognition, (Ed) Rasmussen, C. E., H. H. Bülthoff, B. Schölkopf, M. A. Giese, 26th DAGM Symposium, Springer, Berlin, Germany, 253-261.
 
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Bakir GH , Weston J and Schölkopf B (2004) Learning to Find Pre-Images
In: Advances in Neural Information Processing Systems 16, (Ed) S Thrun, LK Saul and B Schölkopf, 17th Annual Conference on Neural Information Processing Systems (NIPS 2003), MIT Press, Cambridge, MA, USA, 449-456.

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Kienzle W , BakIr G , Franz M and Schölkopf B (2004) Efficient Approximations for Support Vector Machines in Object Detection
In: DAGM 2004, (Ed) CE Rasmussen, HH Bülthoff, B Schölkopf and MA Giese, Pattern Recognition, Proceedings of the 26th DAGM Symposium, Springer, Berlin, Germany, 54-61.
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BakIr G , Gretton A , Franz M and Schölkopf B (2004) Multivariate Regression via Stiefel Manifold Constraints
In: Lecture Notes in Computer Science, Vol. 3175, (Ed) CE Rasmussen, HH Bülthoff, B Schölkopf and MA Giese, Pattern Recognition, Proceedings of the 26th DAGM Symposium, Springer, Berlin, Germany, 262-269.
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Ilg W , Bakir GH , Mezger J and Giese MA (2003) On the Representation, Learning and Transfer of Spatio-Temporal Movement Characteristics
Humanoids Proceedings, 0-0.
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Ilg W , Bakir GH , Franz MO and Giese M (2003) Hierarchical Spatio-Temporal Morphable Models for Representation of
complex movements for Imitation Learning
(Ed) U. Nunes and J.A.T. Machado, 11th International Conference on Advanced Robotics, 453-458.
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Contributions to books (2): |
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Weston J , Bakir GH , Bousquet O , Mann T , Noble WS and Schölkopf B : Joint Kernel Maps, 67-84.
In: Predicting Structured Data, (Ed) GH Bakir, T Hofmann, B Schölkopf, AJ Smola, B Taskar and SVN Vishwanathan, MIT Press, Cambridge, MA, USA, (2007).
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BakIr G , Schölkopf B and Weston J : On the Pre-Image Problem in Kernel Methods, 284-302.
In: Kernel Methods in Bioengineering, Signal and Image Processing, (Ed) G Camps-Valls, JL Rojo-Álvarez and M Martínez-Ramón, Idea Group Publishing, Hershey, PA, USA, (2007).
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Technical reports (3): |
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BakIr G , Wu M and Eichhorn J : Maximum-Margin Feature Combination
for Detection and Categorization, Max Planck Institute for Biological Cybernetics, Tübingen, Germany, (2005).
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Weston J and Bakir GH : Fast Binary and Multi-Output Reduced Set Selection, 132, (2004).
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Bakir GH , Gretton A , Franz MO and Schölkopf B : Multivariate Regression with Stiefel Constraints, 128, MPI for Biological Cybernetics, Spemannstr 38, 72076, Tuebingen, (2004).
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Posters (2): |
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Ilg W , Bakir GH , Franz MO and Giese M (2003): A Representation of Complex Movement Sequences Based on Hierarchical Spatio-Temporal Correspondence for Imitation Learning in Robotics, 6. Tübinger Wahrnehmungskonferenz (TWK 2003), Tübingen, Germany.

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Bakir GH , Ilg W , Franz MO and Giese M (2003): Constraints measures and reproduction of style in robot imitation learning, 6. Tübinger Wahrnehmungskonferenz (TWK 2003), Tübingen, Germany.

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Theses (1): |
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BakIr G : Extension to Kernel Dependency Estimation with Applications to Robotics, Technische Universität Berlin, Berlin, (2005).
PhD thesis

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Talks (1): |
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Wu M , Schölkopf B and BakIr G (2005): Building Sparse Large Margin Classifiers, The 22nd International Conference on Machine Learning (ICML 2005), Bonn, Germany.
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