46 results
(View BibTeX file of all listed publications)

**Kernel methods in medical imaging**
In *Handbook of Biomedical Imaging*, pages: 63-81, 4, (Editors: Paragios, N., Duncan, J. and Ayache, N.), Springer, Berlin, Germany, June 2015 (inbook)

**Statistical and Machine Learning Methods for Neuroimaging: Examples, Challenges, and Extensions to Diffusion Imaging Data**
In *Visualization and Processing of Higher Order Descriptors for Multi-Valued Data*, pages: 299-319, (Editors: Hotz, I. and Schultz, T.), Springer, 2015 (inbook)

**Cosmology from Cosmic Shear with DES Science Verification Data**
*arXiv preprint arXiv:1507.05552*, 2015 (techreport)

**The DES Science Verification Weak Lensing Shear Catalogs**
*arXiv preprint arXiv:1507.05603*, 2015 (techreport)

**Justifying Information-Geometric Causal Inference**
In *Measures of Complexity: Festschrift for Alexey Chervonenkis*, pages: 253-265, 18, (Editors: Vovk, V., Papadopoulos, H. and Gammerman, A.), Springer, 2015 (inbook)

**Projected Newton-type methods in machine learning**
In *Optimization for Machine Learning*, pages: 305-330, (Editors: Sra, S., Nowozin, S. and Wright, S. J.), MIT Press, Cambridge, MA, USA, December 2011 (inbook)

**JMLR Workshop and Conference Proceedings Volume 19: COLT 2011**
pages: 834, MIT Press, Cambridge, MA, USA, 24th Annual Conference on Learning Theory , June 2011 (proceedings)

**Statistical Learning Theory: Models, Concepts, and Results**
In *Handbook of the History of Logic, Vol. 10: Inductive Logic*, 10, pages: 651-706, (Editors: Gabbay, D. M., Hartmann, S. and Woods, J. H.), Elsevier North Holland, Amsterdam, Netherlands, May 2011 (inbook)

**PAC-Bayesian Analysis of Martingales and Multiarmed Bandits **
Max Planck Institute for Biological Cybernetics, Tübingen, Germany, May 2011 (techreport)

**Non-stationary Correction of Optical Aberrations**
(1), Max Planck Institute for Intelligent Systems, Tübingen, Germany, May 2011 (techreport)

**Multiple Kernel Learning: A Unifying Probabilistic Viewpoint**
Max Planck Institute for Biological Cybernetics, March 2011 (techreport)

**Multiple testing, uncertainty and realistic pictures**
(2011-004), EURANDOM, Technische Universiteit Eindhoven, January 2011 (techreport)

**Robot Learning**
In *Encyclopedia of Machine Learning*, pages: 865-869, Encyclopedia of machine learning, (Editors: Sammut, C. and Webb, G. I.), Springer, New York, NY, USA, January 2011 (inbook)

**What You Expect Is What You Get? Potential Use of Contingent Negative Variation for Passive BCI Systems in Gaze-Based HCI**
In *Affective Computing and Intelligent Interaction*, 6975, pages: 447-456, Lecture Notes in Computer Science, (Editors: D’Mello, S., Graesser, A., Schuller, B. and Martin, J.-C.), Springer, Berlin, Germany, 2011 (inbook)

**Kernel Methods in Bioinformatics **
In *Handbook of Statistical Bioinformatics*, pages: 317-334, Springer Handbooks of Computational Statistics ; 3, (Editors: Lu, H.H.-S., Schölkopf, B. and Zhao, H.), Springer, Berlin, Germany, 2011 (inbook)

**Cue Combination: Beyond Optimality**
In *Sensory Cue Integration*, pages: 144-152, (Editors: Trommershäuser, J., Körding, K. and Landy, M. S.), Oxford University Press, 2011 (inbook)

**Nonconvex proximal splitting: batch and incremental algorithms**
(2), Max Planck Institute for Intelligent Systems, Tübingen, Germany, 2011 (techreport)

**Frequent Subgraph Retrieval in Geometric Graph Databases**
(180), Max-Planck Institute for Biological Cybernetics, Tübingen, Germany, November 2008 (techreport)

**Simultaneous Implicit Surface
Reconstruction and Meshing**
(179), Max-Planck Institute for Biological Cybernetics, Tübingen, Germany, November 2008 (techreport)

**Taxonomy Inference Using Kernel Dependence
Measures**
(181), Max-Planck Institute for Biological Cybernetics, Tübingen, Germany, November 2008 (techreport)

**Infinite Kernel Learning**
(178), Max-Planck Institute for Biological Cybernetics, Tübingen, Germany, October 2008 (techreport)

**Large Scale Variational Inference and Experimental Design for Sparse Generalized Linear Models**
(175), Max-Planck Institute for Biological Cybernetics, Tübingen, Germany, September 2008 (techreport)

**Block-Iterative Algorithms for
Non-Negative Matrix Approximation**
(176), Max-Planck Institute for Biological Cybernetics, Tübingen, Germany, September 2008 (techreport)

**Approximation Algorithms for Bregman
Clustering Co-clustering and Tensor Clustering**
(177), Max-Planck Institute for Biological Cybernetics, Tübingen, Germany, September 2008 (techreport)

**Combining Appearance and Motion for Human
Action Classification in Videos**
(174), Max-Planck-Institute for Biological Cybernetics, Tübingen, Germany, August 2008 (techreport)

**Example-based Learning for Single-image
Super-resolution and JPEG Artifact Removal**
(173), Max-Planck-Institute for Biological Cybernetics, Tübingen, Germany, August 2008 (techreport)

**CogRob 2008: The 6th International Cognitive Robotics Workshop**
*Proceedings of the 6th International Cognitive Robotics Workshop (CogRob 2008)*, pages: 35, Patras University Press, Patras, Greece, 6th International Cognitive Robotics Workshop (CogRob), July 2008 (proceedings)

**Unsupervised Bayesian Time-series Segmentation based on Linear Gaussian State-space Models**
(171), Max-Planck-Institute for Biological Cybernetics, Tübingen, Germany, June 2008 (techreport)

**A New Non-monotonic Gradient Projection Method for the Non-negative Least Squares Problem**
(TR-08-28), University of Texas, Austin, TX, USA, June 2008 (techreport)

**Non-monotonic Poisson Likelihood Maximization**
(170), Max-Planck Institute for Biological Cybernetics, Tübingen, Germany, June 2008 (techreport)

**New Frontiers in Characterizing Structure and Dynamics by NMR**
In *Computational Structural Biology: Methods and Applications*, pages: 655-680, (Editors: Schwede, T. , M. C. Peitsch), World Scientific, New Jersey, NJ, USA, May 2008 (inbook)

**A Kernel Method for the Two-sample Problem**
(157), Max-Planck-Institute for Biological Cybernetics Tübingen, April 2008 (techreport)

**Energy Functionals for
Manifold-valued Mappings and
Their Properties**
(167), Max Planck Institute for Biological Cybernetics, Tübingen, January 2008 (techreport)

**A Robot System for Biomimetic Navigation: From Snapshots to Metric Embeddings of View Graphs**
In *Robotics and Cognitive Approaches to Spatial Mapping*, pages: 297-314, Springer Tracts in Advanced Robotics ; 38, (Editors: Jefferies, M.E. , W.-K. Yeap), Springer, Berlin, Germany, 2008 (inbook)

**Kernel Dependency Estimation**
(98), Max Planck Institute for Biological Cybernetics, August 2002 (techreport)

**Global Geometry of SVM Classifiers**
Max Planck Institute for Biological Cybernetics, Tübingen, Germany, June 2002 (techreport)

**Computationally Efficient Face Detection**
(MSR-TR-2002-69), Microsoft Research, June 2002 (techreport)

**Kernel-based nonlinear blind source separation**
EU-Project BLISS, January 2002 (techreport)

**A compression approach to support vector model selection**
(101), Max Planck Institute for Biological Cybernetics, 2002, see more detailed JMLR version (techreport)

**Feature Selection and Transduction for Prediction of Molecular Bioactivity for Drug Design**
Max Planck Institute for Biological Cybernetics / Biowulf Technologies, 2002 (techreport)

**Observations on the Nyström Method for Gaussian Process Prediction**
Max Planck Institute for Biological Cybernetics, Tübingen, Germany, 2002 (techreport)

**The DELVE user manual**
Department of Computer Science, University of Toronto, December 1996 (techreport)

**Nonlinear Component Analysis as a Kernel Eigenvalue Problem**
(44), Max Planck Institute for Biological Cybernetics Tübingen, December 1996, This technical report has also been published elsewhere (techreport)

**Learning View Graphs for Robot Navigation**
(33), Max Planck Institute for Biological Cybernetics, Tübingen,, July 1996 (techreport)

**Künstliches Lernen**
In *Komplexe adaptive Systeme, Forum für Interdisziplinäre Forschung*, 15, pages: 93-117, Forum für interdisziplinäre Forschung, (Editors: S Bornholdt and PH Feindt), Röll, Dettelbach, 1996 (inbook)

**A New Method for Constructing Artificial Neural Networks**
AT & T Bell Laboratories, 1995 (techreport)