A bigradient optimization approach for robust PCA, MCA, and source separation
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J. Karhunen | E. Oja | L. Wang | E. Oja | J. Karhunen | Liuyue Wang | L. Wang | Juha Karhunen
[1] Miss A.O. Penney. (b) , 1974, The New Yale Book of Quotations.
[2] Y. Chauvin,et al. Principal component analysis by gradient descent on a constrained linear Hebbian cell , 1989, International 1989 Joint Conference on Neural Networks.
[3] P. Comon. Separation Of Stochastic Processes , 1989, Workshop on Higher-Order Spectral Analysis.
[4] Christian Jutten,et al. Blind separation of sources, part I: An adaptive algorithm based on neuromimetic architecture , 1991, Signal Process..
[5] Erkki Oja,et al. Modified Hebbian learning for curve and surface fitting , 1992, Neural Networks.
[6] Erkki Oja,et al. Principal components, minor components, and linear neural networks , 1992, Neural Networks.
[7] Andrzej Cichocki,et al. Robust estimation of principal components by using neural network learning algorithms , 1993 .
[8] Eric Moreau,et al. New self-adaptative algorithms for source separation based on contrast functions , 1993, [1993 Proceedings] IEEE Signal Processing Workshop on Higher-Order Statistics.
[9] J. Karhunen. Optimization criteria and nonlinear PCA neural networks , 1994, Proceedings of 1994 IEEE International Conference on Neural Networks (ICNN'94).
[10] Juha Karhunen,et al. Representation and separation of signals using nonlinear PCA type learning , 1994, Neural Networks.
[11] Pierre Comon,et al. Independent component analysis, A new concept? , 1994, Signal Process..
[12] George Mathew,et al. Orthogonal eigensubspace estimation using neural networks , 1994, IEEE Trans. Signal Process..
[13] J. Karhunen,et al. Neural Estimation of Basis Vectors in Independent Component Analysis , 1995 .
[14] Alan L. Yuille,et al. Robust principal component analysis by self-organizing rules based on statistical physics approach , 1995, IEEE Trans. Neural Networks.
[15] Juha Karhunen,et al. Generalizations of principal component analysis, optimization problems, and neural networks , 1995, Neural Networks.
[16] Erkki Oja,et al. Blind Separation of Sources Using Nonlinear PCA Type Learning Algorithms , 1995 .
[17] Juha Karhunen,et al. Nonlinear PCA type approaches for source separation and independent component analysis , 1995, Proceedings of ICNN'95 - International Conference on Neural Networks.
[18] Erkki Oja,et al. Robust fitting by nonlinear neural units , 1996, Neural Networks.
[19] Juha Karhunen,et al. A Unified Neural Bigradient Algorithm for robust PCA and MCA , 1996, Int. J. Neural Syst..