61 results
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**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)

**Model transport: towards scalable transfer learning on manifolds - supplemental material**
(9), April 2014 (techreport)

**Single-Source Domain Adaptation with Target and Conditional Shift**
In *Regularization, Optimization, Kernels, and Support Vector Machines*, pages: 427-456, 19, Chapman & Hall/CRC Machine Learning & Pattern Recognition, (Editors: Suykens, J. A. K., Signoretto, M. and Argyriou, A.), Chapman and Hall/CRC, Boca Raton, USA, 2014 (inbook)

**Higher-Order Tensors in Diffusion Imaging**
In *Visualization and Processing of Tensors and Higher Order Descriptors for Multi-Valued Data*, pages: 129-161, Mathematics + Visualization, (Editors: Westin, C.-F., Vilanova, A. and Burgeth, B.), Springer, 2014 (inbook)

**Fuzzy Fibers: Uncertainty in dMRI Tractography**
In *Scientific Visualization: Uncertainty, Multifield, Biomedical, and Scalable Visualization*, pages: 79-92, 8, Mathematics + Visualization, (Editors: Hansen, C. D., Chen, M., Johnson, C. R., Kaufman, A. E. and Hagen, H.), Springer, 2014 (inbook)

**Nonconvex Proximal Splitting with Computational Errors**
In *Regularization, Optimization, Kernels, and Support Vector Machines*, pages: 83-102, 4, (Editors: Suykens, J. A. K., Signoretto, M. and Argyriou, A.), CRC Press, 2014 (inbook)

**Addressing of Micro-robot Teams and Non-contact Micro-manipulation**
In *Small-Scale Robotics. From Nano-to-Millimeter-Sized Robotic Systems and Applications*, pages: 28-38, Springer Berlin Heidelberg, 2014 (incollection)

**Robot Learning by Guided Self-Organization**
In *Guided Self-Organization: Inception*, 9, pages: 223-260, Emergence, Complexity and Computation, Springer Berlin Heidelberg, 2014 (incollection)

**Simulated Annealing**
In *Encyclopedia of Computer Vision*, pages: 737-741, 0, (Editors: Ikeuchi, K. ), Springer Verlag, 2014, to appear (inbook)

**Puppet Flow**
(7), Max Planck Institute for Intelligent Systems, October 2013 (techreport)

**Learning and Optimization with Submodular Functions**
ArXiv, May 2013 (techreport)

**A Quantitative Analysis of Current Practices in Optical Flow Estimation and the Principles Behind Them**
(CS-10-03), Brown University, Department of Computer Science, January 2013 (techreport)

**A Review of Performance Variations in SMR-Based Brain–Computer Interfaces (BCIs)**
In *Brain-Computer Interface Research*, pages: 39-51, 4, SpringerBriefs in Electrical and Computer Engineering, (Editors: Guger, C., Allison, B. Z. and Edlinger, G.), Springer, 2013 (inbook)

**Semi-supervised learning in causal and anticausal settings**
In *Empirical Inference*, pages: 129-141, 13, Festschrift in Honor of Vladimir Vapnik, (Editors: Schölkopf, B., Luo, Z. and Vovk, V.), Springer, 2013 (inbook)

**Tractable large-scale optimization in machine learning**
In *Tractability: Practical Approaches to Hard Problems*, pages: 202-230, 7, (Editors: Bordeaux, L., Hamadi , Y., Kohli, P. and Mateescu, R. ), Cambridge University Press , 2013 (inbook)

**Animating Samples from Gaussian Distributions**
(8), Max Planck Institute for Intelligent Systems, Tübingen, Germany, 2013 (techreport)

**Maximizing Kepler science return per telemetered pixel: Detailed models of the focal plane in the two-wheel era**
*arXiv:1309.0653*, 2013 (techreport)

**Maximizing Kepler science return per telemetered pixel: Searching the habitable zones of the brightest stars**
*arXiv:1309.0654*, 2013 (techreport)

**On the Relations and Differences between Popper Dimension, Exclusion Dimension and VC-Dimension**
In *Empirical Inference - Festschrift in Honor of Vladimir N. Vapnik*, pages: 53-57, 6, (Editors: Schölkopf, B., Luo, Z. and Vovk, V.), Springer, 2013 (inbook)

**Behavior as broken symmetry in embodied self-organizing robots**
In *Advances in Artificial Life, ECAL 2013*, pages: 601-608, MIT Press, 2013 (incollection)

**Using Torque Redundancy to Optimize Contact Forces in Legged Robots**
In *Redundancy in Robot Manipulators and Multi-Robot Systems*, 57, pages: 35-51, Lecture Notes in Electrical Engineering, Springer Berlin Heidelberg, 2013 (incollection)

**Class-Specific Hough Forests for Object Detection**
In *Decision Forests for Computer Vision and Medical Image Analysis*, pages: 143-157, 11, (Editors: Criminisi, A. and Shotton, J.), Springer, 2013 (incollection)

**Coregistration: Supplemental Material**
(No. 4), Max Planck Institute for Intelligent Systems, October 2012 (techreport)

**Lie Bodies: A Manifold Representation of 3D Human Shape. Supplemental Material**
(No. 5), Max Planck Institute for Intelligent Systems, October 2012 (techreport)

**MPI-Sintel Optical Flow Benchmark: Supplemental Material**
(No. 6), Max Planck Institute for Intelligent Systems, October 2012 (techreport)

**High Gamma-Power Predicts Performance in Brain-Computer Interfacing**
(3), Max-Planck-Institut für Intelligente Systeme, Tübingen, February 2012 (techreport)

**Expectation-Maximization methods for solving (PO)MDPs and optimal control problems**
In *Inference and Learning in Dynamic Models*, (Editors: Barber, D., Cemgil, A.T. and Chiappa, S.), Cambridge University Press, Cambridge, UK, January 2012 (inbook) In press

**Inferential structure determination from NMR data**
In *Bayesian methods in structural bioinformatics*, pages: 287-312, (Editors: Hamelryck, T., Mardia, K. V. and Ferkinghoff-Borg, J.), Springer, New York, 2012 (inbook)

**Robot Learning**
In *Encyclopedia of the sciences of learning*, (Editors: Seel, N.M.), Springer, Berlin, Germany, 2012 (inbook)

**Reinforcement Learning in Robotics: A Survey**
In *Reinforcement Learning*, 12, pages: 579-610, (Editors: Wiering, M. and Otterlo, M.), Springer, Berlin, Germany, 2012 (inbook)

**Higher-Order Tensors in Diffusion MRI**
In *Visualization and Processing of Tensors and Higher Order Descriptors for Multi-Valued Data*, (Editors: Westin, C. F., Vilanova, A. and Burgeth, B.), Springer, 2012 (inbook) Accepted

**Automated Tip-Based 2-D Mechanical Assembly of Micro/Nanoparticles**
In *Feedback Control of MEMS to Atoms*, pages: 69-108, Springer US, 2012 (incollection)

**The principles of XMCD and its application to L-edges in transition metals**
In *Linear and Chiral Dichroism in the Electron Miroscope*, pages: 23-42, Pan Stanford Publishing Pte.Ltd., Singapore, 2012 (incollection)

**An Introduction to Random Forests for Multi-class Object Detection**
In *Outdoor and Large-Scale Real-World Scene Analysis*, 7474, pages: 243-263, LNCS, (Editors: Dellaert, Frank and Frahm, Jan-Michael and Pollefeys, Marc and Rosenhahn, Bodo and Leal-Taix’e, Laura), Springer, 2012 (incollection)

**Home 3D body scans from noisy image and range data**
In *Consumer Depth Cameras for Computer Vision: Research Topics and Applications*, pages: 99-118, 6, (Editors: Andrea Fossati and Juergen Gall and Helmut Grabner and Xiaofeng Ren and Kurt Konolige), Springer-Verlag, 2012 (incollection)

**Structural and chemical characterization on the nanoscale**
In *Nanoelectronics and Information Technology. Advanced Electronic Materials and Novel Devices*, pages: 233-254, Wiley-VCH, Weinheim, 2012 (incollection)

**Rutherford Backscattering**
In *Nanoelectronics and Information Technology. Advanced Electronic Materials and Novel Devices*, pages: 250-252, WILEY-VCH Verlag, Weinheim, Germany, 2012 (incollection)

**Popper, Falsification and the VC-dimension**
(145), Max Planck Institute for Biological Cybernetics, November 2005 (techreport)

**A Combinatorial View of Graph Laplacians**
(144), Max Planck Institute for Biological Cybernetics, Tübingen, Germany, August 2005 (techreport)

**Beyond Pairwise Classification and Clustering Using Hypergraphs**
(143), Max Planck Institute for Biological Cybernetics, August 2005 (techreport)

**Measuring Statistical Dependence with Hilbert-Schmidt Norms**
(140), Max Planck Institute for Biological Cybernetics, Tübingen, Germany, June 2005 (techreport)

**Approximate Inference for Robust Gaussian Process Regression**
(136), Max Planck Institute for Biological Cybernetics, Tübingen, Germany, 2005 (techreport)

**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)