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Thumb_stefan_harmeling
Stefan Harmeling
Dr.
Position: Group Leader
Room no.: 207
Phone: +49 7071 601 1556
Fax: +49 7071 601 552

A detailed overview of my research can be found on my homepage.


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2015
Articles
2014
Articles
  • J. Zscheischler, MD. Mahecha, J. Buttlar, S. Harmeling, M. Jung, A. Rammig, JT. Randerson, B. Schölkopf, SI. Seneviratne, E. Tomelleri, S. Zaehle, M. Reichstein (2014). A few extreme events dominate global interannual variability in gross primary production Environmental Research Letters, 9, (3), 035001
Conference Papers
2013
Articles
Conference Papers
  • S. Harmeling, M. Hirsch, B. Schölkopf (2013). On a link between kernel mean maps and Fraunhofer diffraction, with an application to super-resolution beyond the diffraction limit In: IEEE Conference on Computer Vision and Pattern Recognition (CVPR), IEEE, 1083-1090, CVPR 2013
2012
Articles
  • J. Zscheischler, MD. Mahecha, J. Buttlar, S. Harmeling, M. Jung, JT. Randerson, M. Reichstein (2012). Significant global reduction of carbon uptake by water-cycle driven extreme vegetation anomalies Nature Geoscience, State: in revision
Conference Papers
  • R. Köhler, M. Hirsch, B. Mohler, B. Schölkopf, S. Harmeling (2012). Recording and Playback of Camera Shake: Benchmarking Blind Deconvolution with a Real-World Database In: Computer Vision - ECCV 2012, LNCS Vol. 7578, (Ed) A Fitzgibbon, S Lazebnik, P Perona, Y Sato, and C Schmid, Springer, Berlin, Germany, 27-40, ISBN: 978-3-642-33785-7, 12th European Conference on Computer Vision, ECCV 2012
  • CJ. Schuler, M. Hirsch, S. Harmeling, B. Schölkopf (2012). Blind Correction of Optical Aberrations In: Computer Vision - ECCV 2012, LNCS Vol. 7574, (Ed) A Fitzgibbon, S Lazebnik, P Perona, Y Sato, and C Schmid, Springer, Berlin, Germany, 187-200, ISBN: 978-3-642-33711-6, 12th IEEE European Conference on Computer Vision, ECCV 2012
  • J. Zscheischler, MD. Mahecha, S. Harmeling (2012). Climate classifications: the value of unsupervised clustering In: Procedia Computer Science Volume 9, (Ed) H. Ali, Y. Shi, D. Khazanchi, M. Lees, G.D. van Albada, J. Dongarra, P.M.A. Sloot, J. Dongarra, Elsevier, Amsterdam, Netherlands, 897-906, International Conference on Computational Science (ICCS 2012)
Contributions to books
  • M. Toussaint, A. Storkey, S. Harmeling (2012). Expectation-Maximization methods for solving (PO)MDPs and optimal control problems In: Inference and Learning in Dynamic Models, (Ed) Barber, D. , A.T. Cemgil, S. Chiappa, Cambridge University Press, Cambridge, UK, -, State: in press
2011
Articles
  • S. Harmeling, CK. Williams (2011). Greedy Learning of Binary Latent Trees IEEE Transactions on Pattern Analysis and Machine Intelligence, 33, (6), 1087-1097
  • T. Kitching, A. Amara, M. Gill, S. Harmeling, C. Heymans, R. Massey, B. Rowe, T. Schrabback, L. Voigt, S. Balan, G. Bernstein, M. Bethge, S. Bridle, F. Courbin, M. Gentile, A. Heavens, M. Hirsch, R. Hosseini, A. Kiessling, D. Kirk, K. Kuijken, R. Mandelbaum, B. Moghaddam, G. Nurbaeva, S. Paulin-Henriksson, A. Rassat, J. Rhodes, B. Schölkopf, J. Shawe-Taylor, M. Shmakova, A. Taylor, M. Velander, L. Waerbeke, D. Witherick, D. Wittman (2011). Gravitational Lensing Accuracy Testing 2010 (GREAT10) Challenge Handbook Annals of Applied Statistics, 5, (3), 2231-2263
Conference Papers
  • HC. Burger, B. Schölkopf, S. Harmeling (2011). Removing noise from astronomical images using a pixel-specific noise model (Ed) H Lensch and SL Narasimhan and ME Testorf, IEEE, Piscataway, NJ, USA, 8 pages, ISBN: 978-1-6128-4706-1, IEEE International Conference on Computational Photography (ICCP 2011)
  • A. Loktyushin, S. Harmeling (2011). Automatic foreground-background refocusing (Ed) Macq, B. , P. Schelkens, IEEE, Piscataway, NJ, USA, 3445-3448, ISBN: 978-1-4577-1304-0, 18th IEEE International Conference on Image Processing (ICIP 2011)
  • HC. Burger, S. Harmeling (2011). Improving Denoising Algorithms via a Multi-scale Meta-procedure In: Pattern Recognition, (Ed) Mester, R. , M. Felsberg, Springer, Berlin, Germany, 206-215, ISBN: 978-3-642-23123-0, 33rd DAGM Symposium
Technical Reports
2010
Articles
  • S. Bridle, ST. Balan, M. Bethge, M. Gentile, S. Harmeling, C. Heymans, M. Hirsch, R. Hosseini, M. Jarvis, D. Kirk, T. Kitching, K. Kuijken, A. Lewis, S. Paulin-Henriksson, B. Schölkopf, M. Velander, L. Voigt, D. Witherick, A. Amara, G. Bernstein, F. Courbin, M. Gill, A. Heavens, R. Mandelbaum, R. Massey, B. Moghaddam, A. Rassat, A. Refregier, J. Rhodes, T. Schrabback, J. Shawe-Taylor, M. Shmakova, L. Waerbeke, D. Wittman (2010). Results of the GREAT08 Challenge: An image analysis competition for cosmological lensing Monthly Notices of the Royal Astronomical Society, 405, (3), 2044-2061
Conference Papers
  • S. Harmeling, M. Hirsch, B. Schölkopf (2010). Space-Variant Single-Image Blind Deconvolution for Removing Camera Shake In: Advances in Neural Information Processing Systems 23, (Ed) J Lafferty and CKI Williams and J Shawe-Taylor and RS Zemel and A Culotta, Advances in Neural Information Processing Systems 23: 24th Annual Conference on Neural Information Processing Systems 2010, Curran, Red Hook, NY, USA, 829-837, ISBN: 978-1-617-82380-0, 24th Annual Conference on Neural Information Processing Systems (NIPS 2010)
  • M. Hirsch, S. Sra, B. Schölkopf, S. Harmeling (2010). Efficient Filter Flow for Space-Variant Multiframe Blind Deconvolution In: Proceedings of the 23rd IEEE Conference on Computer Vision and Pattern Recognition, Proceedings of the Twenty-Third IEEE Conference on Computer Vision and Pattern Recognition (CVPR 2010), IEEE, Piscataway, NJ, USA, 607-614, ISBN: 978-1-424-47029-7, CVPR 2010
  • S. Harmeling, S. Sra, M. Hirsch, B. Schölkopf (2010). Multiframe Blind Deconvolution, Super-Resolution, and Saturation Correction via Incremental EM Proceedings of the 17th International Conference on Image Processing (ICIP 2010), IEEE, Institute of Electrical and Electronics Engineers, Piscataway, NJ, USA, 3313-3316, 17th International Conference on Image Processing (ICIP 2010)
2009
Articles
  • S. Harmeling (2009). Inferring textual entailment with a probabilistically sound calculus Natural Language Engineering, 15, (4), 459-477
Conference Papers
  • Lampert, CH. and Nickisch, H. and Harmeling, S. (2009). Learning To Detect Unseen Object Classes by Between-Class Attribute Transfer In: CVPR 2009, Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR 2009), IEEE Service Center, Piscataway, NJ, USA, 951-958, IEEE Computer Society Conference on Computer Vision and Pattern Recognition
  • S. Harmeling, M. Hirsch, S. Sra, B. Schölkopf (2009). Online blind deconvolution for astronomical imaging Proceedings of the First IEEE International Conference Computational Photography (ICCP 2009), IEEE, Piscataway, NJ, USA, 1-7, ISBN: 978-1-4244-4534-9 , First IEEE International Conference on Computational Photography (ICCP 2009)
Technical Reports
2007
Conference Papers
  • Harmeling, S. (2007). An Extensible Probabilistic Transformation-based Approach to the Third Recognizing Textual Entailment Challenge In: TextEntail 2007, Proceedings of ACL-PASCAL Workshop on Textual Entailment and Paraphrasing (TextEntail 2007), 137-142, ACL-PASCAL Workshop on Textual Entailment and Paraphrasing
Technical Reports
  • Harmeling, S. and Toussaint, M. (2007). Bayesian Estimators for Robins-Ritov’s Problem School of Informatics, University of Edinburgh
  • Harmeling, S. (2007). Exploring model selection techniques for nonlinear dimensionality reduction School of Informatics, University of Edinburgh
2006
Articles
  • Harmeling, S. and Dornhege, G. and Tax, D. and Meinecke, F. and Müller, K-R. (2006). From outliers to prototypes: Ordering data Neurocomputing, 69, (13-15), 1608-1618
Technical Reports
  • Toussaint, M. and Harmeling, S. and Storkey, A. (2006). Probabilistic inference for solving (PO)MDPs School of Informatics, University of Edinburgh
2005
Articles
  • Meinecke, F. and Harmeling, S. and Müller, K-R. (2005). Inlier-based ICA with an application to superimposed images International Journal of Imaging Systems and Technology, 15, (1), 48-55
2004
Articles
  • Harmeling, S. and Meinecke, F. and Müller, K-R. (2004). Injecting noise for analysing the stability of ICA components Signal Processing, 84, (2), 255-266
  • Oja, E. and Harmeling, S. and Almeida, L. (2004). Independent component analysis and beyond Signal Processing, 84, (2), 215-216
Conference Papers
  • Honkela, A. and Harmeling, S. and Lundqvist, L. and Valpola, H. (2004). Using kernel PCA for Initialisation of Variational Bayesian Nonlinear Blind Source Separation Method In: ICA 2004, (Ed) Puntonet, C. G., A. Prieto, Independent Component Analysis and Blind Signal Separation: Fifth International Conference (ICA 2004), Springer, Berlin, Germany, 790-797, Fifth International Conference on Independent Component Analysis and Blind Signal Separation
  • Meinecke, F. and Harmeling, S. and Müller, K-R. (2004). Robust ICA for Super-Gaussian Sources In: ICA 2004, (Ed) Puntonet, C. G., A. Prieto, Independent Component Analysis and Blind Signal Separation: Fifth International Conference (ICA 2004), Springer, Berlin, Germany, 217-224, Fifth International Conference on Independent Component Analysis and Blind Signal Separation
Theses
  • Harmeling, S. (2004). Independent component analysis and beyond Universität Potsdam, Potsdam
2003
Articles
  • Harmeling, S. and Ziehe, A. and Kawanabe, M. and Müller, K-R. (2003). Kernel-based nonlinear blind source separation Neural Computation, 15, (5), 1089-1124
  • Ziehe, A. and Kawanabe, M. and Harmeling, S. and Müller, K-R. (2003). Blind separation of post-nonlinear mixtures using linearizing transformations and temporal decorrelation Journal of Machine Learning Research, 4, (7-8), 1319-1338
Conference Papers
  • Harmeling, S. and Meinecke, F. and Müller, K-R. (2003). Analysing ICA component by injection noise In: ICA 2003, (Ed) Amari, S.-I. , A. Cichocki, S. Makino, N. Murata, Proceedings of the 4th International Symposium on Independent Component Analysis and Blind Signal Separation (ICA 2003), 149-154, 4th International Symposium on Independent Component Analysis and Blind Signal Separation