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Florian Steinke
Position: PhD Student
Room no.: 214
Phone: +49-7071-601-571
Fax: +49-7071-601-552

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2011
Articles
2010
Articles
2009
Conference Papers
  • D. Lee, M. Hofmann, F. Steinke, Y. Altun, ND. Cahill, B. Schölkopf (2009). Learning the Similarity Measure for Multi-Modal 3D Image Registration Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR 2009), IEEE Service Center, Piscataway, NJ, USA, 186-193, IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR 2009)
  • F. Steinke, M. Hein (2009). Non-parametric Regression between Riemannian Manifolds In: Advances in neural information processing systems 21, (Ed) Koller, D. , D. Schuurmans, Y. Bengio, L. Bottou, Advances in neural information processing systems 21 : 22nd Annual Conference on Neural Information Processing Systems 2008, Curran, Red Hook, NY, USA, 1561-1568, ISBN: 978-1-605-60949-2, Twenty-Second Annual Conference on Neural Information Processing Systems (NIPS 2008)
Posters
Theses
  • F. Steinke (2009). From Differential Equations to Differential Geometry: Aspects of Regularisation in Machine Learning Universität des Saarlandes, Saarbrücken, Germany
2008
Articles
Technical Reports
Talks
2007
Articles
Conference Papers
  • M. Seeger, F. Steinke, K. Tsuda (2007). Bayesian Inference and Optimal Design in the Sparse Linear Model 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), JMLR, Cambridge, MA, USA, 444-451, 11th International Conference on Artificial Intelligence and Statistics
  • F. Steinke, B. Schölkopf, V. Blanz (2007). Learning Dense 3D Correspondence In: Advances in Neural Information Processing Systems 19, (Ed) B Schölkopf and J Platt and T Hofmann, Advances in Neural Information Processing Systems 19: Proceedings of the 2006 Conference, MIT Press, Cambridge, MA, USA, 1313-1320, ISBN: 0-262-19568-2, 20th Annual Conference on Neural Information Processing Systems (NIPS 2006)
Talks
Posters
  • M. Hofmann, F. Steinke, V. Scheel, G. Charpiat, M. Brady, B. Schölkopf, BJ. Pichler (2007). MR-Based PET Attenuation Correction: Method and Validation 2007 IEEE Nuclear Science Symposium and Medical Imaging Conference (NSS-MIC 2007), 2007, (M16-6), 2007 IEEE Nuclear Science Symposium and Medical Imaging Conference (NSS-MIC 2007), Honolulu, Hawaii, 1-2
2006
Patent
Talks
Conference Papers
  • F. Steinke, B. Schölkopf (2006). Machine Learning Methods For Estimating Operator Equations In: Proceedings of the 14th IFAC Symposium on System Identification (SYSID 2006), (Ed) B Ninness and H Hjalmarsson, Proceedings of the 14th IFAC Symposium on System Identification (SYSID 2006), Elsevier, International Federation of Automatic Control (IFAC), Oxford, United Kingdom, 6 pages, 14th IFAC Symposium on System Identification (SYSID 2006)
2005
Articles
Conference Papers
  • B. Schölkopf, F. Steinke, V. Blanz (2005). Object correspondence as a machine learning problem In: Proceedings of the 22nd International Conference on Machine Learning, (Ed) L De Raedt and S Wrobel, Proceedings of the 22nd International Conference on Machine Learning, ACM, New York, NY, USA, 777-784, ICML 2005
Theses
  • F. Steinke (2005). Implicit Surfaces For Modelling Human Heads Eberhard-Karls-Universität, Tübingen