 | 2011 |
| 20 |  | Harold Christopher Burger,
Stefan Harmeling:
Improving Denoising Algorithms via a Multi-scale Meta-procedure.
DAGM-Symposium 2011: 206-215 |
| 19 |  | Michael Hirsch,
Christian J. Schuler,
Stefan Harmeling,
Bernhard Schölkopf:
Fast removal of non-uniform camera shake.
ICCV 2011: 463-470 |
| 18 |  | Christian J. Schuler,
Michael Hirsch,
Stefan Harmeling,
Bernhard Schölkopf:
Non-stationary correction of optical aberrations.
ICCV 2011: 659-666 |
| 17 |  | Alexander Loktyushin,
Stefan Harmeling:
Automatic foreground-background refocusing.
ICIP 2011: 3445-3448 |
| 16 |  | Stefan Harmeling,
Christopher K. I. Williams:
Greedy Learning of Binary Latent Trees.
IEEE Trans. Pattern Anal. Mach. Intell. 33(6): 1087-1097 (2011) |
| 2010 |
| 15 |  | Michael Hirsch,
Suvrit Sra,
Bernhard Schölkopf,
Stefan Harmeling:
Efficient filter flow for space-variant multiframe blind deconvolution.
CVPR 2010: 607-614 |
| 14 |  | Stefan Harmeling,
Suvrit Sra,
Michael Hirsch,
Bernhard Schölkopf:
Multiframe blind deconvolution, super-resolution, and saturation correction via incremental EM.
ICIP 2010: 3313-3316 |
| 13 |  | Stefan Harmeling,
Michael Hirsch,
Bernhard Schölkopf:
Space-Variant Single-Image Blind Deconvolution for Removing Camera Shake.
NIPS 2010: 829-837 |
| 12 |  | 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) |
| 2009 |
| 11 |  | Christoph H. Lampert,
Hannes Nickisch,
Stefan Harmeling:
Learning to detect unseen object classes by between-class attribute transfer.
CVPR 2009: 951-958 |
| 10 |  | David Baehrens,
Timon Schroeter,
Stefan Harmeling,
Motoaki Kawanabe,
Katja Hansen,
Klaus-Robert Müller:
How to Explain Individual Classification Decisions
CoRR abs/0912.1128: (2009) |
| 9 |  | Stefan Harmeling:
Inferring textual entailment with a probabilistically sound calculus.
Natural Language Engineering 15(4): 459-477 (2009) |
| 2006 |
| 8 |  | 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) |
| 2004 |
| 7 |  | Frank C. Meinecke,
Stefan Harmeling,
Klaus-Robert Müller:
Robust ICA for Super-Gaussian Sources.
ICA 2004: 217-224 |
| 6 |  | 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 |
| 5 |  | Erkki Oja,
Stefan Harmeling,
Luis B. Almeida:
Independent component analysis and beyond.
Signal Processing 84(2): 215-216 (2004) |
| 4 |  | Stefan Harmeling,
Frank C. Meinecke,
Klaus-Robert Müller:
Injecting noise for analysing the stability of ICA components.
Signal Processing 84(2): 255-266 (2004) |
| 2003 |
| 3 |  | 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) |
| 2 |  | Stefan Harmeling,
Andreas Ziehe,
Motoaki Kawanabe,
Klaus-Robert Müller:
Kernel-Based Nonlinear Blind Source Separation.
Neural Computation 15(5): 1089-1124 (2003) |
| 2001 |
| 1 |  | Stefan Harmeling,
Alexander Ziehe,
Motoaki Kawanabe,
Klaus-Robert Müller:
Kernel Feature Spaces and Nonlinear Blind Souce Separation.
NIPS 2001: 761-768 |