Keyphrases
- covariance matrix
- subspace projection
- principal component analysis
- covariance matrices
- discriminant analysis
- independent component analysis
- feature space
- principal components
- subspace clusters
- hyperspectral imagery
- component analysis
- image reconstruction
- face recognition
- dimensionality reduction
- linear discriminant analysis
- face identification
- feature extraction
- blind source separation
- geometrical interpretation
- objective function
- subspace clustering
- sample size
- low dimensional
- face images
- high resolution
- factor analysis
- hyperspectral images
- singular value decomposition
- random projections
- high dimensional data
- image segmentation
- machine learning