Contact

Dr. Gökhan BakIr

Raum Nummer: 203

 

Bild von BakIr, Gökhan, Dr.

Gökhan BakIr

Position: Wissenschaftler  Abteilung: 

Präferenzen: 
Referenzen pro Seite: Jahr: Medium:

  
Zeige Zusammenfassung

Bücher (1):

Bakir GH, Hofmann T, Schölkopf B, Smola AJ, Taskar B und Vishwanathan SVN: Predicting Structured Data, 360, MIT Press, Cambridge, MA, USA, (September-2007). ISBN: 0-262-02617-1, Series: Advances in neural information processing systems

Artikel (4):

Shmilovici A, Bakir GH, Figueras A und Lluís de la Rosa J (Januar-2007) On the simplification of an examples-based controller with support vector machines Control and Intelligent Systems 35(1) 73-78.
Wu M, Schölkopf B und BakIr G (April-2006) A Direct Method for Building Sparse Kernel Learning Algorithms Journal of Machine Learning Research 7 603-624.
pdf
Ilg W, Bakir GH, Mezger J und Giese MA (Dezember-2004) On the Representation, Learning and Transfer of Spatio-Temporal Movement Characteristics International Journal of Humanoid Robotics 1(4) 613-636.
BakIr G (April-2004) Foundations of Wavelet Networks and Applications: S. Sitharama Iyengar, E.C. Cho, Vir V. Phoho; Chapman and Hall/CRC Neural Networks 17(3) 459.

Beiträge zu Tagungsbänden (12):

Nowozin S und BakIr G (Juli-2008) A Decoupled Approach to Exemplar-based Unsupervised Learning, 25th International Conference on Machine Learning (ICML 2008), ACM Press, New York, NY, USA, 704-711.
pdf
Nowozin S, BakIr G und Tsuda K (Oktober-2007) Discriminative Subsequence Mining for Action Classification, 11th IEEE International Conference on Computer Vision (ICCV 2007), IEEE Computer Society, Los Alamitos, CA, USA, 1919-1923.
pdf
Nowozin S, Tsuda K, Uno T, Kudo T und BakIr G (Juni-2007) Weighted Substructure Mining for Image Analysis, IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR 2007), IEEE Computer Society, Los Alamitos, CA, USA, 1-8.
pdf
Wu M, Schölkopf B und BakIr G (August-2005) Building Sparse Large Margin Classifiers, 22nd International Conference on Machine Learning (ICML 2005), ACM Press, New York, NY, USA, 996-1003.
pdf
Bakir GH, Bottou L und Weston J (Juli-2005) Breaking SVM Complexity with Cross-Training In: Advances in Neural Information Processing Systems 17, , Eighteenth Annual Conference on Neural Information Processing Systems (NIPS 2004), MIT Press, Cambridge, MA, USA, 81-88.
pdf
Kienzle W, BakIr G, Franz M und Schölkopf B (Juli-2005) Face Detection: Efficient and Rank Deficient In: Advances in Neural Information Processing Systems 17, , Eighteenth Annual Conference on Neural Information Processing Systems (NIPS 2004), MIT Press, Cambridge, MA, USA, 673-680.
pdf
Kienzle W, BakIr G, Franz M und Schölkopf B (September-2004) Efficient Approximations for Support Vector Machines in Object Detection In: Pattern Recognition, , 26th Annual Symposium of the German Association for Pattern Recognition (DAGM 2004), Springer, Berlin, Germany, 54-61, Series: Lecture Notes in Computer Science ; 3175.
pdf
Sinz F, Candela JQ, BakIr G, Rasmussen CE und Franz M (September-2004) Learning Depth From Stereo In: Pattern Recognition, , 26th Annual Symposium of the German Association for Pattern Recognition (DAGM 2004), Springer, Berlin, Germany, 245-252, Series: Lecture Notes in Computer Science ; 3175.
BakIr G, Zien A und Tsuda K (September-2004) Learning to Find Graph Pre-Images In: Pattern Recognition, , 26th Annual Symposium of the German Association for Pattern Recognition (DAGM 2004), Springer, Berlin, Germany, 253-261, Series: Lecture Notes in Computer Science ; 3175.
BakIr G, Gretton A, Franz M und Schölkopf B (September-2004) Multivariate Regression via Stiefel Manifold Constraints In: Pattern Recognition, , 26th Annual Symposium of the German Association for Pattern Recognition (DAGM 2004), Springer, Berlin, Germany, 262-269, Series: Lecture Notes in Computer Science ; 3175.
Bakir GH, Weston J und Schölkopf B (Juni-2004) Learning to Find Pre-Images In: Advances in Neural Information Processing Systems 16, , Seventeenth Annual Conference on Neural Information Processing Systems (NIPS 2003), MIT Press, Cambridge, MA, USA, 449-456.
pdf
Ilg W, Bakir GH, Franz MO und Giese M (Juli-2003) Hierarchical Spatio-Temporal Morphable Models for Representation of complex movements for Imitation Learning, 11th International Conference on Advanced Robotics (ICAR 2003), Universidade de Coimbra, Coimbra, Portugal, 453-458.
pdf

Beiträge zu Büchern (2):

Weston J, Bakir GH, Bousquet O, Mann T, Noble WS und Schölkopf B: Joint Kernel Maps, 67-83. In: Predicting Structured Data, (Ed) G. H. Bakir, MIT Press, Cambridge, MA, USA, (September-2007).
BakIr G, Schölkopf B und 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, Idea Group Publishing, Hershey, PA, USA, (Januar-2007).

Technische Berichte (3):

BakIr G, Wu M und Eichhorn J: Maximum-Margin Feature Combination for Detection and Categorization, Max Planck Institute for Biological Cybernetics, Tübingen, Germany, (2005).
pdf
Weston J und Bakir GH: Fast Binary and Multi-Output Reduced Set Selection, 132, (November-2004).
ps
Bakir GH, Gretton A, Franz MO und Schölkopf B: Multivariate Regression with Stiefel Constraints, 128, Max Planck Institute for Biological Cybernetics, Tübingen, Germany, (Juli-2004).
pdf

Poster (2):

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

Abschlussarbeiten (1):

BakIr G: Extension to Kernel Dependency Estimation with Applications to Robotics, Technische Universität Berlin, (November-2005). PhD thesis
pdf

Export als:
BibTeX, XML, pubman, Edoc, RTF
Last updated: Montag, 22.05.2017