Publikationen von PV Gehler
Alle Typen
Buchkapitel (1)
1.
Buchkapitel
An introduction to kernel learning algorithms. In: Kernel Methods for Remote Sensing Data Analysis, S. 25 - 48 (Hg. Camps-Valls, G.; Bruzzone, L.). Wiley, New York, NY, USA (2009)
Konferenzbeitrag (10)
2.
Konferenzbeitrag
Recovering Intrinsic Images with a Global Sparsity Prior on Reflectance. In: Advances in Neural Information Processing Systems 24, S. 765 - 773 (Hg. Shawe-Taylor, J.; Zemel, R.; Bartlett, P.; Pereira, F.; Weinberger, K.). Twenty-Fifth Annual Conference on Neural Information Processing Systems (NIPS 2011), Granada, Spain. Curran, Red Hook, NY, USA (2012)
3.
Konferenzbeitrag
Learning output kernels with block coordinate descent. In: 28th International Conference on Machine Learning (ICML 2011), S. 49 - 56 (Hg. Getoor, L.; Scheffer, T.). 28th International Conference on Machine Learning (ICML 2011), Bellevue, WA, USA. International Machine Learning Society, Madison, WI, USA (2011)
4.
Konferenzbeitrag
On Feature Combination for Multiclass Object Classification. In: 2009 IEEE 12th International Conference on Computer Vision, S. 221 - 228. Twelfth IEEE International Conference on Computer Vision, Kyoto, Japan, 29. September 2009 - 02. Oktober 2009. IEEE Computer Society, Piscataway, NJ, USA (2009)
5.
Konferenzbeitrag
Let the Kernel Figure it Out: Principled Learning of Pre-processing for Kernel Classifiers. In: 2009 IEEE Conference on Computer Vision and Pattern Recognition, S. 2836 - 2843. IEEE Computer Society Conference on Computer Vision and Pattern Recognition, Miami Beach, FL, USA, 20. Juni 2009 - 25. Juni 2009. IEEE Service Center, Piscataway, NJ, USA (2009)
6.
Konferenzbeitrag
Infinite Kernel Learning. In: NIPS 2008 Workshop: Kernel Learning: Automatic Selection of Optimal Kernels (LK ASOK 2008), S. 1 - 4. NIPS 2008 Workshop: Kernel Learning: Automatic Selection of Optimal Kernels (LK ASOK 2008), Whistler, BC, Canada, 13. Dezember 2008. (2008)
7.
Konferenzbeitrag
Bayesian Color Constancy Revisited. In: 2008 IEEE Conference on Computer Vision and Pattern Recognition, S. 1 - 8. IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR 2008), Anchorage, AK, USA, 23. Juni 2008 - 28. Juni 2008. IEEE, Piscataway, NJ, USA (2008)
8.
Konferenzbeitrag
Deterministic Annealing for Multiple-Instance Learning. In: Artificial Intelligence and Statistics, 21-24 March 2007, San Juan, Puerto Rico, S. 123 - 130 (Hg. Meila, M.; Shen, X.). 11th International Conference on Artificial Intelligence and Statistics (AISTATS 2007), San Juan, Puerto Rico, 21. März 2007 - 24. März 2007. International Machine Learning Society, Madison, WI, USA (2007)
9.
Konferenzbeitrag
How to choose the covariance for Gaussian process regression independently of the basis. In: Workshop Gaussian Processes in Practice (GPIP 2006), S. 1 - 4. Workshop Gaussian Processes in Practice (GPIP 2006), Bletchley Park, UK, 12. Juni 2006 - 13. Juni 2006. videolectures.net, Scottsdale, AZ, USA (2006)
10.
Konferenzbeitrag
The Rate Adapting Poisson Model for Information Retrieval and Object Recognition. In: ICML '06: Proceedings of the 23rd International Conference on Machine Learning, S. 337 - 344 (Hg. Cohen, W.; Moore, A.). 23rd International Conference on Machine Learning (ICML 2006), Pittsburgh, PA, USA, 25. Juni 2006 - 29. Juni 2006. ACM Press, New York, NY, USA (2006)
11.
Konferenzbeitrag
Schölkopf, B.; Platt, J.). Nineteenth Annual Conference on Neural Information Processing Systems (NIPS 2005), Vancouver, BC, Canada, 05. Dezember 2005 - 08. Dezember 2005. MIT Press, Cambridge, MA, USA (2006)
Products of "Edge-perts". In: Advances in Neural Information Processing Systems 18: Proceedings of the 2005 Conference, S. 419 - 426 (Hg. Weiss, Y.; Hochschulschrift - Doktorarbeit (1)
12.
Hochschulschrift - Doktorarbeit
Kernel Learning Approaches for Image Classification. Dissertation, 159 S., Universität des Saarlandes, Saarbrücken, Germany (2009)
Bericht (2)
13.
Bericht
178). Max Planck Institute for Biological Cybernetics, Tübingen, Germany (2008), 12 S.
Infinite Kernel Learning (Technical Report of the Max Planck Institute for Biological Cybernetics, 14.
Bericht
148). Max Planck Institute for Biological Cybernetics, Tübingen, Germany (2006), 11 S.
Implicit Wiener Series: Part II: Regularised estimation (Technical Report of the Max Planck Institute for Biological Cybernetics,