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Sparse PCA-based on high-dimensional Itô processes with measurement errors.
Donggyu Kim
Yazhen Wang
Published in:
J. Multivar. Anal. (2016)
Keyphrases
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high dimensional
measurement errors
dimensionality reduction
measurement error
data points
feature space
principal component analysis
registration errors
parameter space
three dimensional
gray value
projective transformations