A Nonparametric Statistical Comparison of Principal Component and Linear Discriminant Subspaces for Face Recognition.
J. Ross BeveridgeKai SheBruce A. DraperGeof H. GivensPublished in: CVPR (1) (2001)
Keyphrases
- principal components
- linear discriminant
- principal component analysis
- linear discriminant analysis
- face recognition
- dimensionality reduction
- nonparametric statistical
- low dimensional
- discriminant analysis
- high dimensional data
- fisher criterion
- dimension reduction
- face images
- feature extraction
- subspace learning
- null space
- high dimensional
- input space
- feature space
- manifold learning
- class distribution
- covariance matrix
- data mining
- pattern recognition
- computer vision