Isometric sliced inverse regression for nonlinear manifold learning.
Wei-Ting YaoHan-Ming WuPublished 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