Keyphrases
- face recognition
- linear subspace
- principal component analysis
- subspace learning
- subspace methods
- subspace analysis
- feature extraction
- locality preserving projections
- low dimensional
- discriminant analysis
- face space
- face images
- local binary pattern
- high dimensional data
- linear discriminant analysis
- recognition rate
- linear dimensionality reduction
- computer vision
- kernel pca
- dimensionality reduction
- subspace clustering
- locality preserving
- principal components
- facial images
- sparse representation
- human faces
- face databases
- recognition accuracy
- covariance matrix
- sparse coding
- high dimensional
- subspace learning algorithm
- principal components analysis
- face identification
- face recognition systems
- robust face recognition
- face detection
- feature space
- multiscale
- probe image
- clustering high dimensional data