Juha Karhunen
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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
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
Representation and separation of signals using nonlinear PCA type learning
J Karhunen, J Joutsensalo
Neural networks 7 (1), 113-127, 1994
Generalizations of principal component analysis, optimization problems, and neural networks
J Karhunen, J Joutsensalo
Neural Networks 8 (4), 549-562, 1995
Independent component analysis
A Hyvärinen, J Hurri, PO Hoyer
Natural Image Statistics, 151-175, 2009
Nonlinear blind source separation by self-organizing maps
P Pajunen, A Hyvärinen, J Karhunen
In Proc. Int. Conf. on Neural Information Processing, 1996
Neural approaches to independent component analysis and source separation.
J Karhunen
ESANN 96, 249-266, 1996
Advances in nonlinear blind source separation
C Jutten, J Karhunen
Proc. of the 4th Int. Symp. on Independent Component Analysis and Blind …, 2003
Independent component analysis
A Hyvarinen, J Karhunen, E Oja
Studies in informatics and control 11 (2), 205-207, 2002
An unsupervised ensemble learning method for nonlinear dynamic state-space models
H Valpola, J Karhunen
Neural computation 14 (11), 2647-2692, 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
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
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
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
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
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
Signal separation by nonlinear Hebbian learning
E Oja, J Karhunen
Computational intelligence: A dynamic system perspective, 83-97, 1995
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
Image feature extraction using independent component analysis
J Hurri, A Hyvärinen, J Karhunen, E Oja
In Proc. NORSIG'96, 1996
A maximum likelihood approach to nonlinear blind source separation
P Pajunen, J Karhunen
International Conference on Artificial Neural Networks, 541-546, 1997
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