60 results
(View BibTeX file of all listed publications)

**Actively Learning Gaussian Process Dynamics**
2019 (techreport) Submitted

**Prototyping Micro- and Nano-Optics with Focused Ion Beam Lithography**
SL48, pages: 46, SPIE.Spotlight, SPIE Press, Bellingham, WA, 2019 (book)

**Event-triggered Learning for Linear Quadratic Control**
2019 (techreport)

**Support Vector Machines, Support Measure Machines, and Quasar Target Selection**
Center for Cosmology and Particle Physics (CCPP), New York University, December 2012 (talk)

**Hilbert Space Embedding for Dirichlet Process Mixtures**
NIPS Workshop on Confluence between Kernel Methods and Graphical Models, December 2012 (talk)

**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)

**Simultaneous small animal PET/MR in activated and resting state reveals multiple brain networks**
20th Annual Meeting and Exhibition of the International Society for Magnetic Resonance in Medicine (ISMRM), May 2012 (talk)

**A new PET insert for simultaneous PET/MR small animal imaging**
20th Annual Meeting and Exhibition of the International Society for Magnetic Resonance in Medicine (ISMRM), May 2012 (talk)

**Evaluation of a new, large field of view, small animal PET/MR system**
50. Jahrestagung der Deutschen Gesellschaft fuer Nuklearmedizin (NuklearMedizin), April 2012 (talk)

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

**Simultaneous small animal PET/MR reveals different brain networks during stimulation and rest**
World Molecular Imaging Congress (WMIC), 2012 (talk)

**Support Measure Machines for Quasar Target Selection**
Astro Imaging Workshop, 2012 (talk)

**PAC-Bayesian Analysis: A Link Between Inference and Statistical Physics
**
Workshop on Statistical Physics of Inference and Control Theory, 2012 (talk)

**PET Performance Measurements of a Next Generation Dedicated Small Animal PET/MR Scanner**
Nuclear Science Symposium and Medical Imaging Conference (NSS-MIC), 2012 (talk)

**PAC-Bayesian Analysis of Supervised, Unsupervised, and Reinforcement Learning
**
Tutorial at the 29th International Conference on Machine Learning (ICML), 2012 (talk)

**Influence of MR-based attenuation correction on lesions within bone and susceptibility artifact regions**
Molekulare Bildgebung (MoBi), 2012 (talk)

**Structured Apprenticeship Learning**
European Workshop on Reinforcement Learning (EWRL), 2012 (talk)

**PAC-Bayesian Analysis and Its Applications**
Tutorial at The European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML-PKDD), 2012 (talk)

**Solving Nonlinear Continuous State-Action-Observation POMDPs for Mechanical Systems with Gaussian Noise
**
European Workshop on Reinforcement Learning (EWRL), 2012 (talk)

**Kernel Bellman Equations in POMDPs**
Technical Committee on Infomation-Based Induction Sciences and Machine Learning (IBISML'12), 2012 (talk)

**Beta oscillations propagate as traveling waves in the macaque prefrontal cortex**
42nd Annual Meeting of the Society for Neuroscience (Neuroscience), 2012 (talk)

**The Playful Machine - Theoretical Foundation and Practical Realization of Self-Organizing Robots**
Springer, Berlin Heidelberg, 2012 (book)

**Consumer Depth Cameras for Computer Vision - Research Topics and Applications**
Advances in Computer Vision and Pattern Recognition, Springer, 2012 (book)

**Some thoughts about Gaussian Processes**
NIPS Workshop on Open Problems in Gaussian Processes for Machine Learning, December 2005 (talk)

ei
Chapelle, O.
**A taxonomy of semi-supervised learning algorithms**
Yahoo!, December 2005 (talk)

**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)

**Building Sparse Large Margin Classifiers**
The 22nd International Conference on Machine Learning (ICML), August 2005 (talk)

**Learning from Labeled and Unlabeled Data on a Directed Graph**
The 22nd International Conference on Machine Learning, August 2005 (talk)

**Machine-Learning Approaches to BCI in Tübingen**
Brain-Computer Interface Technology, June 2005, Talk given by NJH. (talk)

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

**Kernel Constrained Covariance for Dependence Measurement**
AISTATS, January 2005 (talk)

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

**Maximum-Margin Feature Combination
for Detection and Categorization**
Max Planck Institute for Biological Cybernetics, Tübingen, Germany, 2005 (techreport)

**Towards a Statistical Theory of Clustering. Presented at the PASCAL workshop on clustering, London**
Presented at the PASCAL workshop on clustering, London, 2005 (techreport)

**Approximate Bayesian Inference for Psychometric Functions using MCMC Sampling**
(135), Max Planck Institute for Biological Cybernetics, Tübingen, Germany, 2005 (techreport)

**Linear and Nonlinear Estimation models applied to Hemodynamic Model**
*Technical Report-2005-1*, Computational Action and Vision Lab University of Minnesota, 2005, clmc (techreport)

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

ei
Zhou, D.
**How to learn from very few examples?**
October 2004 (talk)

ei
Zhou, D.
**Discrete vs. Continuous: Two Sides of Machine Learning**
October 2004 (talk)

ei
Zhou, D.
**Discrete vs. Continuous: Two Sides of Machine Learning**
October 2004 (talk)

**Grundlagen von Support Vector Maschinen und Anwendungen in der Bildverarbeitung**
September 2004 (talk)

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

**Kernel Methods in Computational Biology**
pages: 410, Computational Molecular Biology, MIT Press, Cambridge, MA, USA, August 2004 (book)

**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)