Keyphrases
- principal component analysis
- principal components analysis
- principle component analysis
- face recognition
- dimensionality reduction
- principal components
- feature extraction
- covariance matrix
- high dimensional
- independent component analysis
- linear discriminant analysis
- appearance based object recognition
- kernel pca
- dimension reduction
- low dimensional
- feature space
- data sets
- negative matrix factorization
- lower dimensional
- probabilistic model
- k means
- gabor features
- dimension reduction methods
- neural network