Stefan Harmeling

Jakob Zscheischler, Miguel D. Mahecha, Stefan Harmeling, Markus Reichstein: Detection and attribution of large spatiotemporal extreme events in Earth observation data. Ecological Informatics 15: 66-73 (2013)

Jakob Zscheischler, Miguel D. Mahecha, Stefan Harmeling: Climate Classifications: the Value of Unsupervised Clustering. Procedia CS 9: 897-906 (2012)

Harold Christopher Burger, Christian J. Schuler, Stefan Harmeling: Image denoising: Can plain neural networks compete with BM3D? CVPR 2012: 2392-2399

Rolf Köhler, Michael Hirsch, Betty J. Mohler, Bernhard Schölkopf, Stefan Harmeling: Recording and Playback of Camera Shake: Benchmarking Blind Deconvolution with a Real-World Database. ECCV (7) 2012: 27-40

Christian J. Schuler, Michael Hirsch, Stefan Harmeling, Bernhard Schölkopf: Blind Correction of Optical Aberrations. ECCV (3) 2012: 187-200

Harold Christopher Burger, Christian J. Schuler, Stefan Harmeling: Image denoising with multi-layer perceptrons, part 1: comparison with existing algorithms and with bounds. CoRR abs/1211.1544 (2012)

Harold Christopher Burger, Christian J. Schuler, Stefan Harmeling: Image denoising with multi-layer perceptrons, part 2: training trade-offs and analysis of their mechanisms. CoRR abs/1211.1552 (2012)

Stefan Harmeling, Christopher K. I. Williams: Greedy Learning of Binary Latent Trees. IEEE Trans. Pattern Anal. Mach. Intell. 33(6): 1087-1097 (2011)

Harold Christopher Burger, Stefan Harmeling: Improving Denoising Algorithms via a Multi-scale Meta-procedure. DAGM-Symposium 2011: 206-215

Michael Hirsch, Christian J. Schuler, Stefan Harmeling, Bernhard Schölkopf: Fast removal of non-uniform camera shake. ICCV 2011: 463-470

Christian J. Schuler, Michael Hirsch, Stefan Harmeling, Bernhard Schölkopf: Non-stationary correction of optical aberrations. ICCV 2011: 659-666

Alexander Loktyushin, Stefan Harmeling: Automatic foreground-background refocusing. ICIP 2011: 3445-3448

David Baehrens, Timon Schroeter, Stefan Harmeling, Motoaki Kawanabe, Katja Hansen, Klaus-Robert Müller: How to Explain Individual Classification Decisions. Journal of Machine Learning Research 11: 1803-1831 (2010)

Michael Hirsch, Suvrit Sra, Bernhard Schölkopf, Stefan Harmeling: Efficient filter flow for space-variant multiframe blind deconvolution. CVPR 2010: 607-614

Stefan Harmeling, Suvrit Sra, Michael Hirsch, Bernhard Schölkopf: Multiframe blind deconvolution, super-resolution, and saturation correction via incremental EM. ICIP 2010: 3313-3316

Stefan Harmeling, Michael Hirsch, Bernhard Schölkopf: Space-Variant Single-Image Blind Deconvolution for Removing Camera Shake. NIPS 2010: 829-837

Stefan Harmeling: Inferring textual entailment with a probabilistically sound calculus. Natural Language Engineering 15(4): 459-477 (2009)

Christoph H. Lampert, Hannes Nickisch, Stefan Harmeling: Learning to detect unseen object classes by between-class attribute transfer. CVPR 2009: 951-958

David Baehrens, Timon Schroeter, Stefan Harmeling, Motoaki Kawanabe, Katja Hansen, Klaus-Robert Müller: How to Explain Individual Classification Decisions. CoRR abs/0912.1128 (2009)

Stefan Harmeling, Guido Dornhege, David M. J. Tax, Frank C. Meinecke, Klaus-Robert Müller: From outliers to prototypes: Ordering data. Neurocomputing 69(13-15): 1608-1618 (2006)

Frank C. Meinecke, Stefan Harmeling, Klaus-Robert Müller: Inlier-based ICA with an application to superimposed images. Int. J. Imaging Systems and Technology 15(1): 48-55 (2005)

Erkki Oja, Stefan Harmeling, Luis B. Almeida: Independent component analysis and beyond. Signal Processing 84(2): 215-216 (2004)

Stefan Harmeling, Frank C. Meinecke, Klaus-Robert Müller: Injecting noise for analysing the stability of ICA components. Signal Processing 84(2): 255-266 (2004)

Frank C. Meinecke, Stefan Harmeling, Klaus-Robert Müller: Robust ICA for Super-Gaussian Sources. ICA 2004: 217-224

Antti Honkela, Stefan Harmeling, Leo Lundqvist, Harri Valpola: Using Kernel PCA for Initialisation of Variational Bayesian Nonlinear Blind Source Separation Method. ICA 2004: 790-797

Andreas Ziehe, Motoaki Kawanabe, Stefan Harmeling, Klaus-Robert Müller: Blind Separation of Post-nonlinear Mixtures using Linearizing Transformations and Temporal Decorrelation. Journal of Machine Learning Research 4: 1319-1338 (2003)

Stefan Harmeling, Andreas Ziehe, Motoaki Kawanabe, Klaus-Robert Müller: Kernel-Based Nonlinear Blind Source Separation. Neural Computation 15(5): 1089-1124 (2003)

Stefan Harmeling, Andreas Ziehe, Motoaki Kawanabe, Klaus-Robert Müller: Kernel Feature Spaces and Nonlinear Blind Souce Separation. NIPS 2001: 761-768