Sparse PCA-based on high-dimensional Itô processes with measurement errors.

Donggyu Kim Yazhen Wang

Published in: J. Multivar. Anal. (2016)

Keyphrases

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