Search results

Journal Article (4)

1.
Journal Article
Shmilovici, A.; Bakir, G.; Figueras, A.; Lluís de la Rosa, J.: On the simplification of an examples-based controller with support vector machines. Control and Intelligent Systems 35 (1), pp. 73 - 78 (2007)
2.
Journal Article
Wu, M.; Schölkopf, B.; BakIr, G.: A Direct Method for Building Sparse Kernel Learning Algorithms. The Journal of Machine Learning Research 7, pp. 603 - 624 (2006)
3.
Journal Article
Ilg, W.; Bakir, G.; Mezger, J.; Giese, M.: On the representation, learning and transfer of spatio-temporal movement characteristics. International Journal of Humanoid Robotics 1 (4), pp. 613 - 636 (2004)
4.
Journal Article
Bakır, G.: Foundations of Wavelet Networks and Applications: S. Sitharama Iyengar, E.C. Cho, Vir V. Phoho; Chapman and Hall/CRC. Neural networks 17 (3), p. 459 (2004)

Book (1)

5.
Book
Bakir, G.; Hofmann, T.; Schölkopf, B.; Smola , A.; Taskar, B.; Vishwanathan, S.: Predicting Structured Data. MIT Press, Cambridge, MA, USA (2007), 360 pp.

Book Chapter (2)

6.
Book Chapter
Weston, J.; Bakir, G.; Bousquet, O.; Mann, T.; Noble, W.; Schölkopf, B.: Joint Kernel Maps. In: Predicting Structured Data, pp. 67 - 84 (Eds. Bakır, G.; Hofmann, T.; Schölkopf, B.; Smola, A.; Taskar, B. et al.). MIT Press, Cambridge, MA, USA (2007)
7.
Book Chapter
BakIr, G.; Schölkopf, B.; Weston, J.: On the Pre-Image Problem in Kernel Methods. In: Kernel Methods in Bioengineering, Signal and Image Processing, pp. 284 - 302 (Eds. Camps-Valls, G.; Rojo-Álvarez, J.; Martínez-Ramón, M.). Idea Group Publishing, Hershey, PA, USA (2007)

Conference Paper (13)

8.
Conference Paper
Nowozin, S.; Bakir, G.: A Decoupled Approach to Exemplar-based Unsupervised Learning. In: ICML '08: Proceedings of the 25th international conference on Machine, pp. 704 - 711 (Eds. Cohen, W.; McCallum, A.; Roweis, S.). 25th International Conference on Machine Learning (ICML 2008), Helsinki, Finland, July 05, 2008 - July 09, 2008. ACM Press, New York, NY, USA (2008)
9.
Conference Paper
Nowozin, S.; BakIr, G.; Tsuda, K.: Discriminative Subsequence Mining for Action Classification. In: 2007 IEEE 11th International Conference on Computer Vision, pp. 1919 - 1923. 11th IEEE International Conference on Computer Vision (ICCV 2007), Rio de Janeiro, Brazil, October 14, 2007 - October 21, 2007. IEEE Service Center, Piscataway, NJ, USA (2007)
10.
Conference Paper
Nowozin, S.; Tsuda, K.; Uno , T.; Kudo, T.; BakIr, G.: Weighted Substructure Mining for Image Analysis. In: 2007 IEEE Conference on Computer Vision and Pattern Recognition, pp. 1 - 8. IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR 2007), Minneapolis, MN., USA, June 17, 2007 - June 22, 2007. IEEE Computer Society, Los Alamitos, CA, USA (2007)
11.
Conference Paper
Wu, M.; Schölkopf, B.; BakIr, G.: Building Sparse Large Margin Classifiers. In: ICML '05: 22nd international conference on Machine learning, pp. 996 - 1003 (Eds. Dzeroski, S.; de Raedt, L.; Wrobel, S.). 22nd International Conference on Machine Learning (ICML 2005), Bonn, Germany, August 07, 2005 - August 11, 2005. ACM, New York, NY, USA (2005)
12.
Conference Paper
Bakir, G.; Bottou, L.; Weston, J.: Breaking SVM Complexity with Cross-Training. In: Advances in Neural Information Processing Systems 17, pp. 81 - 88 (Eds. Saul, L.; Weiss, Y.; Bottou, L.). Eighteenth Annual Conference on Neural Information Processing Systems (NIPS 2004), Vancouver, BC, Canada, December 13, 2004 - December 16, 2004. MIT Press, Cambridge, MA, USA (2005)
13.
Conference Paper
Kienzle, W.; BakIr, G.; Franz, M.; Schölkopf, B.: Face Detection: Efficient and Rank Deficient. Eighteenth Annual Conference on Neural Information Processing Systems (NIPS 2004), Vancouver, BC, Canada, December 13, 2004 - December 16, 2004. Advances in Neural Information Processing Systems 17, pp. 673 - 680 (2005)
14.
Conference Paper
BakIr, G.; Gretton, A.; Franz, M.; Schölkopf, B.: Multivariate Regression via Stiefel Manifold Constraints. In: Pattern Recognition: 26th DAGM Symposium, Tübingen, Germany, August 30 - September 1, 2004, pp. 262 - 269 (Eds. Rasmussen, C.; Bülthoff, H.; Schölkopf, B.; Giese, M.). 26th Annual Symposium of the German Association for Pattern Recognition (DAGM 2004), Tübingen, Germany, August 30, 2004 - September 01, 2004. Springer, Berlin, Germany (2004)
15.
Conference Paper
BakIr, G.; Zien, A.; Tsuda, K.: Learning to Find Graph Pre-Images. In: Pattern Recognition: 26th DAGM Symposium, Tübingen, Germany, August 30 - September 1, 2004, pp. 253 - 261 (Eds. Rasmussen, C.; Bülthoff, H.; Schölkopf, B.; Giese, M.). 26th Annual Symposium of the German Association for Pattern Recognition (DAGM 2004), Tübingen, Germany, August 30, 2004 - September 01, 2004. Springer, Berlin, Germany (2004)
16.
Conference Paper
Kienzle, W.; BakIr, G.; Franz, M.; Schölkopf, B.: Efficient Approximations for Support Vector Machines in Object Detection. In: Pattern Recognition: 26th DAGM Symposium, Tübingen, Germany, August 30 - September 1, 2004, pp. 54 - 61 (Eds. Rasmussen, C.; Bülthoff, H.; Schölkopf, B.; Giese, M.). 26th Annual Symposium of the German Association for Pattern Recognition (DAGM 2004), Tübingen, Germany, August 30, 2003 - September 01, 2001. Springer, Berlin, Germany (2004)
17.
Conference Paper
Sinz, F.; Candela, J.; BakIr, G.; Rasmussen, C.; Franz, M.: Learning Depth From Stereo. In: Pattern Recognition: 26th DAGM Symposium, Tübingen, Germany, August 30 - September 1, 2004, pp. 245 - 252 (Eds. Rasmussen, C.; Bülthoff, H.; Schölkopf, B.; Giese, M.). 26th Annual Symposium of the German Association for Pattern Recognition (DAGM 2004), Tübingen, Germany, August 30, 2004 - September 01, 2004. Springer, Berlin, Germany (2004)
18.
Conference Paper
Bakir, G.; Weston, J.; Schölkopf, B.: Learning to Find Pre-Images. In: Advances in Neural Information Processing Systems 16, pp. 449 - 456 (Eds. Thrun, S.; Saul, L.; Schölkopf, B.). Seventeenth Annual Conference on Neural Information Processing Systems (NIPS 2003), Whistler, BC, Canada, December 09, 2003 - December 11, 2003. MIT Press, Cambridge, MA, USA (2004)
19.
Conference Paper
Ilg, W.; Bakir, G.; Franz, M.; Giese, M.: Hierarchical Spatio-Temporal Morphable Models for Representation of complex movements for Imitation Learning. In: 11th International Conference on Advanced Robotics (ICAR 2003), pp. 453 - 458 (Eds. Nunes, U.; de Almeida, A.; Bejczy, A.; Kosuge, K.; Machado, J.). 11th International Conference on Advanced Robotics (ICAR 2003), Coimbra, Portugal, June 30, 2003 - July 03, 2003. (2003)
20.
Conference Paper
Ilg, W.; Bakir, G.; Mezger, J.; Giese, M.: On the Representation, Learning and Transfer of Spatio-Temporal Movement Characteristics. In: Humanoids Proceedings, p. 0 - 0. Humanoids Proceedings. (2003)
Go to Editor View