Conference papers (10): |
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Gehler P  , Rother C , Kiefel M , Zhang L and Schölkopf B (January-2012) Recovering Intrinsic Images with a Global Sparsity Prior on Reflectance
In: Advances in Neural Information Processing Systems 24, Twenty-Fifth Annual Conference on Neural Information Processing Systems (NIPS 2011), 1-9.
in press
 
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Dinuzzo F , Ong CS , Gehler PV and Pillonetto G (July-2011) Learning output kernels with block coordinate descent
28th International Conference on Machine Learning (ICML 2011), International Machine Learning Society, Madison, WI, USA, 49-56.
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Gehler PV and Nowozin S (October-2009) On Feature Combination for Multiclass Object Classification
In: ICCV 2009, Twelfth IEEE International Conference on Computer Vision, IEEE Computer Society, Piscataway, NJ, USA, 221-228.
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Gehler PV and Nowozin S (June-2009) Let the Kernel Figure it Out: Principled Learning of Pre-processing for Kernel Classifiers
In: CVPR 2009, IEEE Computer Society Conference on Computer Vision and Pattern Recognition, IEEE Service Center, Piscataway, NJ, USA, 2836-2843.
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Gehler PV and Nowozin S (December-2008) Infinite Kernel Learning
NIPS 2008 Workshop on "Kernel Learning: Automatic Selection of Optimal Kernels" (LK ASOK´08), 1-4.
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Gehler PV , Rother C , Blake A , Minka T and Sharp T (June-2008) Bayesian Color Constancy Revisited
In: CVPR 2008, IEEE Computer Society Conference on Computer Vision and Pattern Recognition, IEEE Service Center, Piscataway, NJ, USA, 1-8.
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Gehler PV and Chapelle O (March-2007) Deterministic Annealing for
Multiple-Instance Learning
In: AISTATS 2007, 11th International Conference on Artificial Intelligence and Statistics, Microtome, Brookline, MA, USA, 123-130.
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Franz MO and Gehler PV (June-2006) How to choose the covariance for Gaussian process regression independently of the basis
In: GPIP 2006, Workshop Gaussian Processes in Practice 2006, videolectures.net, Scottsdale, AZ, USA, -, 1-4.
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Gehler PV , Holub AD and Welling M (June-2006) The Rate Adapting Poisson Model for Information Retrieval and Object Recognition
In: ICML 2006, 23rd International Conference on Machine Learning, ACM Press, New York, NY, USA, 337-344.
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Gehler PV and Welling M (May-2006) Products of "Edge-perts"
In: Advances in neural information processing systems 18, Nineteenth Annual Conference on Neural Information Processing Systems (NIPS 2005), MIT Press, Cambridge, MA, USA, 419-426.
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Contributions to books (1): |
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Gehler PV and Schölkopf B : An introduction to kernel learning algorithms, 25-48.
In: Kernel Methods for Remote Sensing Data Analysis, (Ed) G. Camps-Valls, Wiley, New York, NY, USA, (October-2009).
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Technical reports (2): |
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Gehler PV and Nowozin S : Infinite Kernel Learning, 178, Max-Planck Institute for Biological Cybernetics, Tübingen, Germany, (October-2008).
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Gehler PV and Franz M : Implicit Wiener Series, Part II: Regularised estimation, 148, Max Planck Institute for Biological Cybernetics, Tübingen, Germany, (November-2006).
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Theses (1): |
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Gehler PV : Kernel Learning Approaches for Image Classification, Universität des Saarlandes, Saarbrücken, Germany, (October-2009).
PhD thesis
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