Principal Component Projection and Regression in Nearly Linear Time through Asymmetric SVRG.
Yujia JinAaron SidfordPublished in: CoRR (2019)
Keyphrases
- principal components
- principal component regression
- null space
- partial least squares
- principal component analysis
- maximum variance
- dimensionality reduction
- multivariate data
- regression model
- worst case
- principal components analysis
- support vector
- kernel space
- regression methods
- hyperplane
- correlation coefficient
- dimension reduction
- regression problems
- linear classifiers
- support vector regression
- linear regression
- regression algorithm
- image processing
- pattern recognition