Stochastic optimization for PCA and PLS.
Raman AroraAndrew CotterKaren LivescuNathan SrebroPublished in: Allerton Conference (2012)
Keyphrases
- stochastic optimization
- principal component analysis
- partial least squares
- multistage
- principal components analysis
- dimension reduction
- dimensionality reduction
- principal components
- principle component analysis
- face recognition
- feature extraction
- independent component analysis
- partial least squares regression
- discriminant analysis
- covariance matrix
- linear discriminant analysis
- face images
- latent variables
- feature space
- singular value decomposition
- resource allocation
- case based reasoning
- evolutionary algorithm
- robust optimization
- feature vectors
- search space