Isometric sliced inverse regression for nonlinear manifold learning.

Wei-Ting Yao Han-Ming Wu

Published in: Stat. Comput. (2013)

Keyphrases

nonlinear manifold learning
manifold learning
low dimensional
dimensionality reduction
regression model
high dimensional
euclidean space

linear regression
high dimensional data
semi supervised
sparse representation
principal component analysis
regression algorithm
regression problems

ridge regression
gaussian processes
image processing
feature extraction
dimension reduction
reproducing kernel hilbert space
support vector

polynomial regression
computer vision
support vector machine
feature space
partial least squares
simple linear
regression methods