Generalizations of principal component analysis, optimization problems, and neural networks

This publication has 16 references indexed in Scilit:

• Stability of Oja's PCA Subspace Rule
  Neural Computation, 1994
• Independent component analysis, A new concept?
  Signal Processing, 1994
• Representation and separation of signals using nonlinear PCA type learning
  Neural Networks, 1994
• Robust estimation of principal components by using neural network learning algorithms
  Electronics Letters, 1993
• Blind separation of sources: A nonlinear neural algorithm
  Neural Networks, 1992
• Local Synaptic Learning Rules Suffice to Maximize Mutual Information in a Linear Network
  Neural Computation, 1992
• Blind separation of sources, part I: An adaptive algorithm based on neuromimetic architecture
  Signal Processing, 1991
• Principal Curves
  Journal of the American Statistical Association, 1989
• Neural networks and principal component analysis: Learning from examples without local minima
  Neural Networks, 1989
• Auto-association by multilayer perceptrons and singular value decomposition
  Biological Cybernetics, 1988