73 results
(View BibTeX file of all listed publications)

**Nanoscale robotic agents in biological fluids and tissues**
In *The Encyclopedia of Medical Robotics*, 2, pages: 19-42, 2, (Editors: Desai, J. P. and Ferreira, A.), World Scientific, October 2018 (inbook)

**Haptics and Haptic Interfaces**
In *Encyclopedia of Robotics*, (Editors: Marcelo H. Ang and Oussama Khatib and Bruno Siciliano), Springer, May 2018 (incollection)

**Detailed Dense Inference with Convolutional Neural Networks via Discrete Wavelet Transform**
arxiv, 2018, arXiv:1808.01834 (techreport)

**Maschinelles Lernen: Entwicklung ohne Grenzen?**
In *Mit Optimismus in die Zukunft schauen. Künstliche Intelligenz - Chancen und Rahmenbedingungen*, pages: 26-34, (Editors: Bender, G. and Herbrich, R. and Siebenhaar, K.), B&S Siebenhaar Verlag, 2018 (incollection)

** NEWMA: a new method for scalable model-free online change-point detection**
2018 (techreport)

**Methods in Psychophysics**
In *Stevens’ Handbook of Experimental Psychology and Cognitive Neuroscience*, 5 (Methodology), 7, 4th, John Wiley & Sons, Inc., 2018 (inbook)

**Transfer Learning for BCIs**
In *Brain–Computer Interfaces Handbook*, pages: 425-442, 22, (Editors: Chang S. Nam, Anton Nijholt and Fabien Lotte), CRC Press, 2018 (incollection)

**Computationally efficient algorithms for statistical image processing: Implementation in R**
(2010-053), EURANDOM, Technische Universiteit Eindhoven, December 2010 (techreport)

**Fast Convergent Algorithms for Expectation Propagation Approximate Bayesian Inference**
Max Planck Institute for Biological Cybernetics, December 2010 (techreport)

**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)

**A PAC-Bayesian Analysis of Graph Clustering and Pairwise Clustering**
Max Planck Institute for Biological Cybernetics, Tübingen, Germany, September 2010 (techreport)

**Sparse nonnegative matrix approximation: new formulations and algorithms**
(193), Max Planck Institute for Biological Cybernetics, Tübingen, Germany, September 2010 (techreport)

**Robust nonparametric detection of objects in noisy images**
(2010-049), EURANDOM, Technische Universiteit Eindhoven, September 2010 (techreport)

**Large Scale Variational Inference and Experimental Design for Sparse Generalized Linear Models**
Max Planck Institute for Biological Cybernetics, August 2010 (techreport)

**Cooperative Cuts for Image Segmentation**
(UWEETR-1020-0003), University of Washington, Washington DC, USA, August 2010 (techreport)

**Fast algorithms for total-variationbased optimization**
(194), Max Planck Institute for Biological Cybernetics, Tübingen, Germany, August 2010 (techreport)

**Gaussian Mixture Modeling with Gaussian Process Latent Variable Models**
Max Planck Institute for Biological Cybernetics, June 2010 (techreport)

**Generalized Proximity and Projection with Norms and Mixed-norms**
(192), Max Planck Institute for Biological Cybernetics, Tübingen, Germany, May 2010 (techreport)

**Cooperative Cuts: Graph Cuts with Submodular Edge Weights**
(189), Max Planck Institute for Biological Cybernetics, Tuebingen, Germany, March 2010 (techreport)

**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)

**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)

**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)

**Information-theoretic inference of common ancestors**
*Computing Research Repository (CoRR)*, abs/1010.5720, pages: 18, 2010 (techreport)

**Nanohandling robot cells**
In *Handbook of Nanophysics: Nanomedicine and Nanorobotics*, pages: 1-31, CRC Press, 2010 (incollection)

**Locally weighted regression for control**
In *Encyclopedia of Machine Learning*, pages: 613-624, (Editors: Sammut, C.;Webb, G. I.), Springer, 2010, clmc (inbook)

**Physisorption in porous materials**
In *Handbook of Hydrogen Storage*, pages: 39-62, WILEY-VCH Verlag GmbH & Co. KGaA, Weinheim, 2010 (incollection)

**Adsorption technologies**
In *Hydrogen and Fuel Cells*, pages: 431-445, WILEY-VCH, Weinheim, 2010 (incollection)

**Atomic-Force-Microscopy-Based Nanomanipulation Systems**
In *Handbook of Nanophysics: Nanomedicine and Nanorobotics*, pages: 1-15, CRC Press, 2010 (incollection)

**Taming the Beast: Guided Self-organization of Behavior in Autonomous Robots**
In *From Animals to Animats 11*, 6226, pages: 50-61, LNCS, Springer, 2010 (incollection)

**Joint Kernel Maps**
(131), Max-Planck-Institute for Biological Cybernetics, Tübingen, November 2004 (techreport)

**Semi-Supervised Induction**
(141), Max Planck Institute for Biological Cybernetics, Tuebingen, Germany, August 2004 (techreport)

**Object categorization with SVM: kernels for local features**
(137), Max Planck Institute for Biological Cybernetics, Tübingen, Germany, July 2004 (techreport)

**Hilbertian Metrics and Positive Definite Kernels on Probability Measures**
(126), Max Planck Institute for Biological Cybernetics, Tübingen, Germany, July 2004 (techreport)

**Kernels, Associated Structures and Generalizations**
(127), Max Planck Institute for Biological Cybernetics, Tübingen, Germany, July 2004 (techreport)

**Distributed Command Execution**
In *BSD Hacks: 100 industrial-strength tips & tools*, pages: 152-152, (Editors: Lavigne, Dru), O’Reilly, Beijing, May 2004 (inbook)

**Kamerakalibrierung und Tiefenschätzung:
Ein Vergleich von klassischer Bündelblockausgleichung und statistischen Lernalgorithmen**
Wilhelm-Schickard-Institut für Informatik, Universität Tübingen, Tübingen, Germany, March 2004 (techreport)

**Gaussian Processes in Machine Learning**
In 3176, pages: 63-71, Lecture Notes in Computer Science, (Editors: Bousquet, O., U. von Luxburg and G. Rätsch), Springer, Heidelberg, 2004, Copyright by Springer (inbook)

**Multivariate Regression with Stiefel Constraints**
(128), MPI for Biological Cybernetics, Spemannstr 38, 72076, Tuebingen, 2004 (techreport)

**Learning from Labeled and Unlabeled Data Using Random Walks**
Max Planck Institute for Biological Cybernetics, 2004 (techreport)

**Protein Classification via Kernel Matrix Completion**
In pages: 261-274, (Editors: Schoelkopf, B., K. Tsuda and J.P. Vert), MIT Press, Cambridge, MA; USA, 2004 (inbook)

**Behaviour and Convergence of the Constrained Covariance**
(130), MPI for Biological Cybernetics, 2004 (techreport)

**Introduction to Statistical Learning Theory**
In Lecture Notes in Artificial Intelligence 3176, pages: 169-207, (Editors: Bousquet, O., U. von Luxburg and G. Rätsch), Springer, Heidelberg, Germany, 2004 (inbook)

**A Primer on Kernel Methods**
In *Kernel Methods in Computational Biology*, pages: 35-70, (Editors: B Schölkopf and K Tsuda and JP Vert), MIT Press, Cambridge, MA, USA, 2004 (inbook)

**Confidence Sets for Ratios: A Purely Geometric Approach To Fieller’s Theorem**
(133), Max Planck Institute for Biological Cybernetics, 2004 (techreport)

**Transductive Inference with Graphs**
Max Planck Institute for Biological Cybernetics, 2004, See the improved version Regularization on Discrete Spaces. (techreport)

**Concentration Inequalities**
In Lecture Notes in Artificial Intelligence 3176, pages: 208-240, (Editors: Bousquet, O., U. von Luxburg and G. Rätsch), Springer, Heidelberg, Germany, 2004 (inbook)