References
Karhunen J, Joutsensalo J. Generalisations of principal component analysis, optimisation problems, and neural networks. Neural Networks, 1995; 8(4): 549–562
Comon P, Golub GH. Tracking a few extreme singular values and vectors in signal processing. Proceedings IEEE 1990; 78: 1327–1343
Baldi P, Hornik K. Learning in linear neural networks: a survey. IEEE Transactions Neural Networks 1995; 6,(4): 837–858
Palmieri F, Zhu J. Self-association and Hebbian learning in linear neural networks. IEEE Transactions Neural Networks 1998; 6(5): 1165–1184
Comon P. Independent component analysis — a new concept? Signal processing 1994; 36: 287–314
Amari S, Cichocki A, Yang H. A new learning algorithm for blind signal separation. Advances in Neural Information Processing Systems 8. MIT Press, 1996; 757–763
Bell A, Sejnowski T. An information-maximisation approach to blind separation and blind deconvolution. Neural Computation 1995; 7: 1129–1159
Karhunen J, Oja E, Wang L, Vigario R, Joutsensalo J. A class of neural networks for independent component analysis. IEEE Transactions Neural Networks 1997; 8(3): 486–504
Deco G, Obradovic D. An Information-Theoretic Approach to Neural Computing. Springer-Verlag, 1996
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Karhunen, J. Principal component neural networks — Theory and applications. Pattern Analysis & Applic 1, 74–75 (1998). https://doi.org/10.1007/BF01238029
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DOI: https://doi.org/10.1007/BF01238029