Publications

This material is presented to ensure timely dissemination of scholarly and technical work. Copyright and all rights therein are retained by authors or by other copyright holders. All persons copying this information are expected to adhere to the terms and constraints invoked by each author's copyright. In most cases, these works may not be reposted without the explicit permission of the copyright holder.

Search for Publication


Year(s) from:  to 
Author:
Keywords (separated by spaces):

Your query for [ authors=("P%Gehler") ] yields the following results:

Chapters in Books

1. Peter Gehler and Bernhard Schölkopf,  "An introduction to kernel learning algorithms",  Kernel Methods for Remote Sensing Data Analysis, Gustavo Camps-Valls and Lorenzo Bruzzone, Ed., Wiley,  pp. 39-60, 2009

Conference Papers

1. Alain Lehmann,  Peter Gehler,  and Luc Van Gool,  "Branch&Rank: Non-Linear Object Detection",  British Machine Vision Conference, September 2011
2. A. Mansfield,  P. Gehler,  L. Van Gool and C. Rother,  "Scene Carving: Scene Consistent Image Retargeting",  European Conference on Computer Vision (ECCV), September 2010
3. A. Mansfield,  P. Gehler,  L. Van Gool and C. Rother,  "Visibility Maps for Improving Seam Carving",  Media Retargeting Workshop, European Conference on Computer Vision (ECCV), September 2010
4. Sebastian Nowozin and Peter Gehler and Christoph Lampert,  "On Parameter Learning in CRF-based Approaches to Object Class Image Segmentation",  ECCV, September 2010
5. Peter Gehler and Sebastian Nowozin,  "Let the Kernel Figure it Out: Principled Learning of Pre-processing for Kernel Classifiers",  Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition,  2009
6. Peter Gehler and Sebastian Nowozin,  "On Feature Combination for Multiclass Object Classification",  Proceedings of the Twelfth IEEE International Conference on Computer Vision,  2009
7. Peter Gehler and Carsten Rother and Andrew Blake and Tom Minka and Toby Sharp,  "Bayesian Color Constancy Revisited",  Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition,  2008
8. Peter Gehler and Sebastian Nowozin,  "Infinite Kernel Learning",  NIPS 2008 Workshop on "Kernel Learning: Automatic Selection of Optimal Kernels", December 2008
9. Peter Gehler and Olivier Chapelle,  "Deterministic Annealing for Multiple-Instance Learning",  Proceedings of the 11th International Conference on Artificial Intelligence and Statistics, March 2007
10. Matthias Franz and Peter Gehler,  "How to choose the covariance for Gaussian process regression independently of the basis",  Proceedings of the Workshop Gaussian Processes in Practice,  2006
11. Peter Gehler and Alex Holub and Max Welling,  "The Rate Adapting Poisson Model for Information Retrieval and Object Recognition",  Proceedings of the 23rd International Conference on Machine Learning,  2006
12. Peter Gehler and Max Welling,  "Product of Edge-Perts",  Advances in Neural Information Processing Systems 18,  2005

Technical Reports

1. Peter Gehler and Sebastian Nowozin,  "Infinite Kernel Learning",  MPI Technical Report, 178, October 2008
2. Peter Gehler and Matthias Franz,  "Implicit Wiener Series, Part II: Regularised estimation",  MPI Technical Report, 148, November 2006