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Peter Vincent Gehler
Room no.: 1.B.05

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2014
Conference Papers
2011
Conference Papers
  • F. Dinuzzo, CS. Ong, PV. Gehler, G. Pillonetto (2011). Learning output kernels with block coordinate descent (Ed) Getoor, L. , T. Scheffer, International Machine Learning Society, Madison, WI, USA, 49-56, ISBN: 978-1-450-30619-5, 28th International Conference on Machine Learning (ICML 2011)
  • P. Gehler, C. Rother, M. Kiefel, L. Zhang, B. Schölkopf (2011). Recovering Intrinsic Images with a Global Sparsity Prior on Reflectance In: Advances in Neural Information Processing Systems 24, (Ed) J Shawe-Taylor and RS Zemel and PL Bartlett and FCN Pereira and KQ Weinberger, Curran Associates, Inc., Red Hook, NY, USA, 765-773, Twenty-Fifth Annual Conference on Neural Information Processing Systems (NIPS 2011)
2009
Conference Papers
  • PV. Gehler, S. Nowozin (2009). Let the Kernel Figure it Out: Principled Learning of Pre-processing for Kernel Classifiers In: CVPR 2009, Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR 2009), IEEE Service Center, Piscataway, NJ, USA, 2836-2843, IEEE Computer Society Conference on Computer Vision and Pattern Recognition
  • PV. Gehler, S. Nowozin (2009). On Feature Combination for Multiclass Object Classification In: ICCV 2009, Proceedings of the Twelfth IEEE International Conference on Computer Vision (ICCV 2009), IEEE Computer Society, Piscataway, NJ, USA, 221-228, Twelfth IEEE International Conference on Computer Vision
Theses
  • PV. Gehler (2009). Kernel Learning Approaches for Image Classification Universität des Saarlandes, Saarbrücken, Germany
Contributions to books
  • PV. Gehler, B. Schölkopf (2009). An introduction to kernel learning algorithms In: Kernel Methods for Remote Sensing Data Analysis, (Ed) G Camps-Valls and L Bruzzone, Wiley, New York, NY, USA, 25-48, ISBN: 978-0-470-72211-4
2008
Technical Reports
Conference Papers
  • PV. Gehler, S. Nowozin (2008). Infinite Kernel Learning Proceedings of the NIPS 2008 Workshop on "Kernel Learning: Automatic Selection of Optimal Kernels", Max-Planck Institute for Biological Cybernetics, Tübingen, Germany, 1-4, NIPS 2008 Workshop on "Kernel Learning: Automatic Selection of Optimal Kernels" (LK ASOK´08)
  • PV. Gehler, C. Rother, A. Blake, T. Minka, T. Sharp (2008). Bayesian Color Constancy Revisited In: CVPR 2008, Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR 2008), IEEE Service Center, Piscataway, NJ, USA, 1-8, IEEE Computer Society Conference on Computer Vision and Pattern Recognition
2007
Conference Papers
  • PV. Gehler, O. Chapelle (2007). Deterministic Annealing for Multiple-Instance Learning In: JMLR Workshop and Conference Proceedings Volume 2: AISTATS 2007, (Ed) Meila, M. , X. Shen, Proceedings of the 11th International Conference on Artificial Intelligence and Statistics (AISTATS 2007), MIT Press, Cambridge, MA, USA, 123-130, 11th International Conference on Artificial Intelligence and Statistics
2006
Conference Papers
  • PV. Gehler, AD. Holub, M. Welling (2006). The Rate Adapting Poisson Model for Information Retrieval and Object Recognition In: ICML 2006, (Ed) Cohen, W. W., A. Moore, Proceedings of the 23rd International Conference on Machine Learning (ICML 2006), ACM Press, New York, NY, USA, 337-344, 23rd International Conference on Machine Learning
  • MO. Franz, PV. Gehler (2006). How to choose the covariance for Gaussian process regression independently of the basis Proceedings of the Workshop Gaussian Processes in Practice (GPIP 2006), -, videolectures.net, Scottsdale, AZ, USA, 1-4, Workshop Gaussian Processes in Practice (GPIP 2006)
  • PV. Gehler, M. Welling (2006). Products of "Edge-perts" In: Advances in neural information processing systems 18, (Ed) Weiss, Y. , B. Schölkopf, J. Platt, Advances in Neural Information Processing Systems 18: Proceedings of the 2005 Conference, MIT Press, Cambridge, MA, USA, 419-426, ISBN: 0-262-23253-7, Nineteenth Annual Conference on Neural Information Processing Systems (NIPS 2005)
Technical Reports