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An improved stochastic gradient algorithm for principal component analysis and subspace tracking.
Jeroen Dehaene
Marc Moonen
Joos Vandewalle
Published in:
IEEE Trans. Signal Process. (1997)
Keyphrases
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stochastic gradient
principal component analysis
cost function
worst case
optimization algorithm
nearest neighbor
expectation maximization
covariance matrix
principal components
machine learning
optimal solution
feature space
particle swarm optimization
convergence rate
grassmann manifold