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All publications by Florian Steinke
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Semi-supervised Regression using Hessian energy with an application to semi-supervised dimensionality reduction
Kwang I. Kim, Florian Steinke and Matthias Hein
Advances in Neural Information Processing Systems 22, 2009


Non-parametric Regression Between Manifolds
Florian Steinke and Matthias Hein
Advances in Neural Information Processing Systems 21, 2008


Bayesian Inference and Optimal Design in the Sparse Linear Model
Matthias Seeger, Florian Steinke and Koji Tsuda
Proceedings of the Eleventh International Conference on Artificial Intelligence and Statistics (AISTATS-07), 2007


Learning Dense 3D Correspondence
Florian Steinke, Volker Blanz and Bernhard Schölkopf
Advances in Neural Information Processing Systems 19, 2006


Object correspondence as a machine learning problem
Bernhard Schölkopf, Florian Steinke and Volker Blanz
Proceedings of the 22nd International Conference on Machine Learning (ICML-05), 2005