Locality-regularized linear regression discriminant analysis for feature extraction.
Pu HuangTao LiZhenqiu ShuGuangwei GaoGeng YangChengshan QianPublished in: Inf. Sci. (2018)
Keyphrases
- linear regression
- discriminant analysis
- feature extraction
- least squares
- kernel discriminant analysis
- linear discriminant analysis
- face recognition
- quadratic discriminant analysis
- regression problems
- regression methods
- ridge regression
- factor analysis
- fisher criterion
- principal component analysis
- discriminant projection
- nonlinear regression
- dimension reduction
- pattern recognition
- kernel principal component analysis
- image processing
- dimensionality reduction methods
- partial least squares
- linear models
- feature space
- image feature extraction
- kernel fisher discriminant analysis
- machine learning
- discriminant subspace
- cluster analysis
- clustering method
- dimensionality reduction
- support vector