On stochastic approximation of the eigenvectors and eigenvalues of the expectation of a random matrix E Oja, J Karhunen Journal of mathematical analysis and applications 106 (1), 69-84, 1985 | 643 | 1985 |

A class of neural networks for independent component analysis J Karhunen, E Oja, L Wang, R Vigario, J Joutsensalo IEEE Transactions on neural networks 8 (3), 486-504, 1997 | 589 | 1997 |

Representation and separation of signals using nonlinear PCA type learning J Karhunen, J Joutsensalo Neural networks 7 (1), 113-127, 1994 | 497 | 1994 |

Generalizations of principal component analysis, optimization problems, and neural networks J Karhunen, J Joutsensalo Neural Networks 8 (4), 549-562, 1995 | 368 | 1995 |

Nonlinear blind source separation by self-organizing maps P Pajunen, A Hyvärinen, J Karhunen In Proc. Int. Conf. on Neural Information Processing, 1996 | 208 | 1996 |

Independent component analysis A Hyvärinen, J Hurri, PO Hoyer Natural Image Statistics, 151-175, 2009 | 207* | 2009 |

Neural approaches to independent component analysis and source separation. J Karhunen ESANN 96, 249-266, 1996 | 201 | 1996 |

Advances in nonlinear blind source separation C Jutten, J Karhunen Proc. of the 4th Int. Symp. on Independent Component Analysis and Blind …, 2003 | 196 | 2003 |

Independent component analysis A Hyvarinen, J Karhunen, E Oja Studies in informatics and control 11 (2), 205-207, 2002 | 195* | 2002 |

An unsupervised ensemble learning method for nonlinear dynamic state-space models H Valpola, J Karhunen Neural computation 14 (11), 2647-2692, 2002 | 166 | 2002 |

The nonlinear PCA criterion in blind source separation: Relations with other approaches J Karhunen, P Pajunen, E Oja Neurocomputing 22 (1-3), 5-20, 1998 | 153 | 1998 |

Applications of neural blind separation to signal and image processing J Karhunen, A Hyvarinen, R Vigário, J Hurri, E Oja 1997 IEEE International Conference on Acoustics, Speech, and Signal …, 1997 | 152 | 1997 |

Advances in blind source separation (BSS) and independent component analysis (ICA) for nonlinear mixtures C Jutten, J Karhunen International journal of neural systems 14 (05), 267-292, 2004 | 139 | 2004 |

Neural networks for blind separation with unknown number of sources A Cichocki, J Karhunen, W Kasprzak, R Vigario Neurocomputing 24 (1-3), 55-93, 1999 | 122 | 1999 |

An experimental comparison of neural algorithms for independent component analysis and blind separation X Giannakopoulos, J Karhunen, E Oja International journal of neural systems 9 (02), 99-114, 1999 | 105 | 1999 |

Signal separation by nonlinear Hebbian learning E Oja, J Karhunen Computational intelligence: A dynamic system perspective, 83-97, 1995 | 104 | 1995 |

Approximate Riemannian conjugate gradient learning for fixed-form variational Bayes A Honkela, T Raiko, M Kuusela, M Tornio, J Karhunen The Journal of Machine Learning Research 11, 3235-3268, 2010 | 102 | 2010 |

Principal component analysis for large scale problems with lots of missing values T Raiko, A Ilin, J Karhunen European Conference on Machine Learning, 691-698, 2007 | 88 | 2007 |

Image feature extraction using independent component analysis J Hurri, A Hyvärinen, J Karhunen, E Oja In Proc. NORSIG'96, 1996 | 88 | 1996 |

A unified neural bigradient algorithm for robust PCA and MCA L Wang, J Karhunen International journal of neural systems 7 (01), 53-67, 1996 | 87 | 1996 |