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Publications of Author

1. Antti Honkela, Stefan Harmeling, Leo Lundqvist, Harri Valpola
   Using Kernel PCA for Initialisation of Variational Bayesian Nonlinear Blind Source Separation Method. [Citation Graph (0, 0)][DBLP]
   ICA, 2004, pp:790-797 [Conf]
   
2. Frank C. Meinecke, Stefan Harmeling, Klaus-Robert Müller
   Robust ICA for Super-Gaussian Sources. [Citation Graph (0, 0)][DBLP]
   ICA, 2004, pp:217-224 [Conf]
   
3. Stefan Harmeling, Alexander Ziehe, Motoaki Kawanabe, Klaus-Robert Müller
   Kernel Feature Spaces and Nonlinear Blind Souce Separation. [Citation Graph (0, 0)][DBLP]
   NIPS, 2001, pp:761-768 [Conf]
   
4. Stefan Harmeling, Guido Dornhege, David Tax, Frank C. Meinecke, Klaus-Robert Müller
   From outliers to prototypes: Ordering data. [Citation Graph (0, 0)][DBLP]
   Neurocomputing, 2006, v:69, n:13-15, pp:1608-1618 [Journal]
   
5. Andreas Ziehe, Motoaki Kawanabe, Stefan Harmeling, Klaus-Robert Müller
   Blind Separation of Post-nonlinear Mixtures using Linearizing Transformations and Temporal Decorrelation. [Citation Graph (0, 0)][DBLP]
   Journal of Machine Learning Research, 2003, v:4, n:, pp:1319-1338 [Journal]
   
6. Stefan Harmeling, Andreas Ziehe, Motoaki Kawanabe, Klaus-Robert Müller
   Kernel-Based Nonlinear Blind Source Separation. [Citation Graph (0, 0)][DBLP]
   Neural Computation, 2003, v:15, n:5, pp:1089-1124 [Journal]
   
7. Erkki Oja, Stefan Harmeling, Luis B. Almeida
   Independent component analysis and beyond. [Citation Graph (0, 0)][DBLP]
   Signal Processing, 2004, v:84, n:2, pp:215-216 [Journal]
   
8. Stefan Harmeling, Frank C. Meinecke, Klaus-Robert Müller
   Injecting noise for analysing the stability of ICA components. [Citation Graph (0, 0)][DBLP]
   Signal Processing, 2004, v:84, n:2, pp:255-266 [Journal]
   
9. 
   Learning to detect unseen object classes by between-class attribute transfer. [Citation Graph (, )][DBLP]
   
   
10. 
    How to Explain Individual Classification Decisions [Citation Graph (, )][DBLP]