Erkki Oja
Erkki Oja
Professor of Computer Science and Engineering, Aalto University
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Cited by
Cited by
Independent Component Analysis
A Hyvärinen, J Karhunen, E Oja
John Wiley & Sons, inc., 2001
A fast fixed-point algorithm for independent component analysis
A Hyvärinen, E Oja
Neural computation 9 (7), 1483-1492, 1997
Simplified neuron model as a principal component analyzer
E Oja
Journal of mathematical biology 15 (3), 267-273, 1982
Survey on independent component analysis
A Hyvärinen
A new curve detection method: randomized Hough transform (RHT)
L Xu, E Oja, P Kultanen
Pattern recognition letters 11 (5), 331-338, 1990
Subspace methods of pattern recognition
E Oja
John Wiley & Sons, 1983
Neural networks, principal components, and subspaces
E Oja
International journal of neural systems 1 (01), 61-68, 1989
Principal components, minor components, and linear neural networks
E Oja
Neural networks 5 (6), 927-935, 1992
Engineering applications of the self-organizing map
T Kohonen, E Oja, O Simula, A Visa, J Kangas
Proceedings of the IEEE 84 (10), 1358-1384, 1996
Independent component approach to the analysis of EEG and MEG recordings
R Vigário, J Sarela, V Jousmiki, M Hamalainen, E Oja
IEEE transactions on biomedical engineering 47 (5), 589-593, 2000
Rival penalized competitive learning for clustering analysis, RBF net, and curve detection
L Xu, A Krzyzak, E Oja
IEEE Transactions on Neural networks 4 (4), 636-649, 1993
Randomized Hough transform (RHT): basic mechanisms, algorithms, and computational complexities
L Xu, E Oja
CVGIP: Image understanding 57 (2), 131-154, 1993
Topographic independent component analysis
A Hyvärinen, PO Hoyer, M Inki
Neural computation 13 (7), 1527-1558, 2001
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
Sparse code shrinkage: Denoising by nonlinear maximum likelihood estimation
A Hyvärinen, PO Hoyer, E Oja
Advances in Neural Information Processing Systems, 473-479, 1999
Efficient variant of algorithm FastICA for independent component analysis attaining the Cramér-Rao lower bound
Z Koldovsky, P Tichavsky, E Oja
IEEE Transactions on neural networks 17 (5), 1265-1277, 2006
Texture discrimination with multidimensional distributions of signed gray-level differences
T Ojala, K Valkealahti, E Oja, M Pietikäinen
Pattern Recognition 34 (3), 727-739, 2001
Clustering properties of hierarchical self-organizing maps
J Lampinen, E Oja
Journal of Mathematical Imaging and vision 2 (2-3), 261-272, 1992
Modified Hebbian learning for curve and surface fitting
L Xu, E Oja, CY Suen
Neural Networks 5 (3), 441-457, 1992
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