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Peter Vincent Gehler

Adresse: Paul-Erlich-Stre 15
72076 Tübingen
Raum Nummer: 204
E-Mail: pgehler

 

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Peter Vincent Gehler

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Beiträge zu Tagungsbänden (10):

Gehler P, Rother C, Kiefel M, Zhang L und Schölkopf B (Januar-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), Curran, Red Hook, NY, USA, 765-773.
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Dinuzzo F, Ong CS, Gehler PV und Pillonetto G (Juli-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 und Nowozin S (Oktober-2009) On Feature Combination for Multiclass Object Classification, Twelfth IEEE International Conference on Computer Vision (ICCV 2009), IEEE Computer Society, Piscataway, NJ, USA, 221-228.
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Gehler PV und Nowozin S (Juni-2009) Let the Kernel Figure it Out: Principled Learning of Pre-processing for Kernel Classifiers, IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR 2009), IEEE Service Center, Piscataway, NJ, USA, 2836-2843.
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Gehler PV und Nowozin S (Dezember-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 und Sharp T (Juni-2008) Bayesian Color Constancy Revisited, IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR 2008), IEEE Service Center, Piscataway, NJ, USA, 1-8.
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Gehler PV und Chapelle O (März-2007) Deterministic Annealing for Multiple-Instance Learning, 11th International Conference on Artificial Intelligence and Statistics (AISTATS 2007), International Machine Learning Society, Madison, WI, USA, 123-130, Series: JMLR Workshop and Conference Proceedings ; 2.
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Franz MO und Gehler PV (Juni-2006) How to choose the covariance for Gaussian process regression independently of the basis, Workshop Gaussian Processes in Practice (GPIP 2006), videolectures.net, Scottsdale, AZ, USA, 1-4.
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Gehler PV, Holub AD und Welling M (Juni-2006) The Rate Adapting Poisson Model for Information Retrieval and Object Recognition, 23rd International Conference on Machine Learning (ICML 2006), ACM Press, New York, NY, USA, 337-344.
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Gehler PV und Welling M (Mai-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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Beiträge zu Büchern (1):

Gehler PV und 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, (Oktober-2009).

Technische Berichte (2):

Gehler PV und Nowozin S: Infinite Kernel Learning, 178, Max-Planck Institute for Biological Cybernetics, Tübingen, Germany, (Oktober-2008).
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Gehler PV und Franz M: Implicit Wiener Series, Part II: Regularised estimation, 148, Max Planck Institute for Biological Cybernetics, Tübingen, Germany, (November-2006).
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Abschlussarbeiten (1):

Gehler PV: Kernel Learning Approaches for Image Classification, Universität des Saarlandes, Saarbrücken, Germany, (Oktober-2009). PhD thesis
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Last updated: Montag, 22.05.2017