Keyphrases
- principal component analysis
- dimensionality reduction
- discriminant projection
- principal components
- principal components analysis
- face recognition
- dimension reduction
- feature extraction
- independent components analysis
- low dimensional
- feature space
- independent component analysis
- covariance matrix
- appearance based object recognition
- tensor analysis
- face images
- high order
- optimal solution
- lower dimensional
- random projections
- higher order
- singular value decomposition
- machine learning
- principle component analysis
- subspace learning
- default theories
- kernel principal component analysis
- subspace methods
- recognition rate
- dimension reduction methods
- feature selection
- discriminant analysis