Principal Component Projection Without Principal Component Analysis.
Roy FrostigCameron MuscoChristopher MuscoAaron SidfordPublished in: CoRR (2016)
Keyphrases
- principal components
- principal component analysis
- null space
- maximum variance
- dimensionality reduction
- multivariate data
- independent component analysis
- feature extraction
- feature space
- linear projection
- covariance matrix
- principal components analysis
- hyperplane
- dimension reduction
- linear classifiers
- face recognition
- linear discriminant analysis
- low dimensional
- feature set
- discriminant analysis
- kernel space
- face images
- correlation coefficient
- lower dimensional
- principal component regression