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