Variance Reduced Stochastic Optimization for PCA and PLS.
Erxue MinJianjing CuiJun LongPublished in: ISCID (1) (2017)
Keyphrases
- stochastic optimization
- principal component analysis
- covariance matrix
- partial least squares
- multistage
- reduced dimensionality
- principal components analysis
- principal components
- principle component analysis
- feature extraction
- dimension reduction
- face recognition
- dimensionality reduction
- independent component analysis
- feature space
- face images
- latent variables
- partial least squares regression
- multi agent systems
- correlation coefficient
- linear discriminant analysis
- objective function
- machine learning