44 results
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**Markerless tracking of Dynamic 3D Scans of Faces**
In *Dynamic Faces: Insights from Experiments and Computation*, pages: 255-276, (Editors: Curio, C., Bülthoff, H. H. and Giese, M. A.), MIT Press, Cambridge, MA, USA, December 2010 (inbook)

**Policy Gradient Methods**
In *Encyclopedia of Machine Learning*, pages: 774-776, (Editors: Sammut, C. and Webb, G. I.), Springer, Berlin, Germany, December 2010 (inbook)

**Approximate Inference in Graphical Models**
University of Cambridge, November 2010 (phdthesis)

**Bayesian Inference and Experimental Design for Large Generalised Linear Models**
Biologische Kybernetik, Technische Universität Berlin, Berlin, Germany, September 2010 (phdthesis)

**Inferring High-Dimensional Causal Relations using Free Probability Theory**
Humboldt Universität Berlin, Germany, August 2010 (diplomathesis)

**Predictive Representations For Sequential Decision Making Under Uncertainty**
Université Laval, Quebec, Canada, July 2010 (phdthesis)

**Semi-supervised Subspace Learning and Application to Human Functional Magnetic Brain Resonance Imaging Data**
Biologische Kybernetik, Eberhard Karls Universität, Tübingen, Germany, July 2010 (diplomathesis)

**Quantitative Evaluation of MR-based Attenuation Correction for Positron Emission Tomography (PET)**
Biologische Kybernetik, Universität Mannheim, Germany, March 2010 (diplomathesis)

**Learning Continuous Grasp Affordances by Sensorimotor Exploration**
In *From Motor Learning to Interaction Learning in Robots*, pages: 451-465, Studies in Computational Intelligence ; 264, (Editors: Sigaud, O. and Peters, J.), Springer, Berlin, Germany, January 2010 (inbook)

**Imitation and Reinforcement Learning for Motor Primitives with Perceptual Coupling**
In *From Motor Learning to Interaction Learning in Robots*, pages: 209-225, Studies in Computational Intelligence ; 264, (Editors: Sigaud, O. and Peters, J.), Springer, Berlin, Germany, January 2010 (inbook)

**From Motor Learning to Interaction Learning in Robots**
In *From Motor Learning to Interaction Learning in Robots*, pages: 1-12, Studies in Computational Intelligence ; 264, (Editors: Sigaud, O. and Peters, J.), Springer, Berlin, Germany, January 2010 (inbook)

**Real-Time Local GP Model Learning**
In *From Motor Learning to Interaction Learning in Robots*, 264, pages: 193-207, Studies in Computational Intelligence, (Editors: Sigaud, O. and Peters, J.), Springer, Berlin, Germany, January 2010 (inbook)

**Finding Gene-Gene Interactions using Support Vector Machines**
Eberhard Karls Universität Tübingen, Germany, 2010 (diplomathesis)

**Accurate Prediction of Protein-Coding Genes with Discriminative Learning Techniques**
Technische Universität Berlin, Germany, 2010 (phdthesis)

**Machine Learning Methods for Automatic Image Colorization**
In *Computational Photography: Methods and Applications*, pages: 395-418, Digital Imaging and Computer Vision, (Editors: Lukac, R.), CRC Press, Boca Raton, FL, USA, 2010 (inbook)

**Quantitative Positron Emission Tomography with a Combined PET/MR System**
University of Oxford, UK, 2010 (phdthesis)

**Structural and Relational Data Mining for Systems Biology Applications**
Eberhard Karls Universität Tübingen, Germany , 2010 (phdthesis)

**Population Coding in the Visual System: Statistical Methods and Theory**
Eberhard Karls Universität Tübingen, Germany, 2010 (phdthesis)

**Bayesian Methods for Neural Data Analysis**
Eberhard Karls Universität Tübingen, Germany, 2010 (phdthesis)

**Approaches Based on Support Vector Machine to Classification of Remote Sensing Data**
In *Handbook of Pattern Recognition and Computer Vision*, pages: 329-352, (Editors: Chen, C.H.), ICP, London, UK, 2010 (inbook)

**Clustering with Neighborhood Graphs**
Universität des Saarlandes, Saarbrücken, Germany, 2010 (phdthesis)

**Detecting and modeling time shifts in microarray time series data applying Gaussian processes**
Eberhard Karls Universität Tübingen, Germany, 2010 (thesis)

**Detecting the mincut in sparse random graphs
**
Eberhard Karls Universität Tübingen, Germany, 2010 (diplomathesis)

**A wider view on encoding and decoding in the visual brain-computer interface speller system**
Eberhard Karls Universität Tübingen, Germany, 2010 (phdthesis)

**Extension to Kernel Dependency Estimation with Applications to Robotics**
Biologische Kybernetik, Technische Universität Berlin, Berlin, November 2005 (phdthesis)

**Geometrical aspects of statistical learning theory**
Biologische Kybernetik, Darmstadt, Darmstadt, November 2005 (phdthesis)

**Implicit Surfaces For Modelling
Human Heads**
Biologische Kybernetik, Eberhard-Karls-Universität, Tübingen, September 2005 (diplomathesis)

**Machine Learning Methods for Brain-Computer Interdaces**
Biologische Kybernetik, University of Darmstadt, September 2005 (phdthesis)

**Liver Perfusion using Level Set Methods**
Biologische Kybernetik, Shanghai JiaoTong University, Shanghai, China, July 2005 (diplomathesis)

**Discriminative Methods for Label Sequence Learning**
Brown University, Providence, RI, USA, May 2005 (phdthesis)

**Efficient Adaptive Sampling of the Psychometric Function by Maximizing Information Gain**
Biologische Kybernetik, Eberhard-Karls University Tübingen, Tübingen, Germany, May 2005 (diplomathesis)

**Support Vector Classification of Images with Local Features**
Biologische Kybernetik, University of Massachusetts, Amherst, May 2005 (diplomathesis)

**Efficient Pattern Selection for Support Vector Classifiers and its CRM Application**
Biologische Kybernetik, Seoul National University, Seoul, Korea, February 2005 (phdthesis)

**Kernels: Regularization and Optimization**
Biologische Kybernetik, The Australian National University, Canberra, Australia, 2005 (phdthesis)

**Support Vector Machines and Kernel Algorithms**
In *Encyclopedia of Biostatistics (2nd edition), Vol. 8*, 8, pages: 5328-5335, (Editors: P Armitage and T Colton), John Wiley & Sons, NY USA, 2005 (inbook)

**Visual perception
I: Basic principles**
In *Handbook of Cognition*, pages: 3-47, (Editors: Lamberts, K. , R. Goldstone), Sage, London, 2005 (inbook)

**Nonlinear Multivariate Analysis with Geodesic Kernels**
Biologische Kybernetik, Technische Universität Berlin, February 2002 (diplomathesis)

**Concentration Inequalities and Empirical Processes Theory Applied to the Analysis of Learning Algorithms**
Biologische Kybernetik, Ecole Polytechnique, 2002 (phdthesis) Accepted

**Support Vector Machines: Induction Principle, Adaptive Tuning and Prior Knowledge**
Biologische Kybernetik, 2002 (phdthesis)

**Some Aspects of Modelling Human Spatial Vision: Contrast Discrimination**
University of Oxford, University of Oxford, October 1999 (phdthesis)

**Kernel principal component analysis.**
In *Advances in Kernel Methods—Support Vector Learning*, pages: 327-352, (Editors: B Schölkopf and CJC Burges and AJ Smola), MIT Press, Cambridge, MA, 1999 (inbook)

**Apprentissage Automatique et Simplicite**
Biologische Kybernetik, 1999, In french (diplomathesis)

**Machine Learning and Language Acquisition: A Model of Child’s Learning of Turkish Morphophonology**
Middle East Technical University, Ankara, Turkey, 1999 (mastersthesis)

**Entropy numbers, operators and support vector kernels.**
In *Advances in Kernel Methods - Support Vector Learning*, pages: 127-144, (Editors: B Schölkopf and CJC Burges and AJ Smola), MIT Press, Cambridge, MA, 1999 (inbook)