Optimization criteria and nonlinear PCA neural networks
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[1] T. W. Anderson,et al. An Introduction to Multivariate Statistical Analysis , 1959 .
[2] Harold W. Sorenson,et al. Parameter estimation: Principles and problems , 1980 .
[3] Josef Kittler,et al. Pattern recognition : a statistical approach , 1982 .
[4] Kurt Hornik,et al. Neural networks and principal component analysis: Learning from examples without local minima , 1989, Neural Networks.
[5] Christian Jutten,et al. Blind separation of sources, part I: An adaptive algorithm based on neuromimetic architecture , 1991, Signal Process..
[6] Ralph Linsker,et al. Local Synaptic Learning Rules Suffice to Maximize Mutual Information in a Linear Network , 1992, Neural Computation.
[7] Gilles Burel,et al. Blind separation of sources: A nonlinear neural algorithm , 1992, Neural Networks.
[8] Erkki Oja,et al. Principal components, minor components, and linear neural networks , 1992, Neural Networks.
[9] Andrzej Cichocki,et al. Neural networks for optimization and signal processing , 1993 .
[10] Andrzej Cichocki,et al. Robust estimation of principal components by using neural network learning algorithms , 1993 .
[11] Lei Xu,et al. Least mean square error reconstruction principle for self-organizing neural-nets , 1993, Neural Networks.
[12] Todd K. Leen,et al. Fast nonlinear dimension reduction , 1993, IEEE International Conference on Neural Networks.
[13] Mark D. Plumbley. Efficient information transfer and anti-Hebbian neural networks , 1993, Neural Networks.
[14] Juha Karhunen,et al. Representation and separation of signals using nonlinear PCA type learning , 1994, Neural Networks.