Keyphrases
- singular value decomposition
- principal component analysis
- dimensionality reduction
- nonnegative matrix factorization
- data matrix
- dimension reduction
- least squares
- principal components analysis
- principle component analysis
- factor analysis
- principal components
- independent component analysis
- tensor factorization
- feature extraction
- negative matrix factorization
- face recognition
- singular values
- linear programming
- covariance matrix
- objective function
- tensor analysis
- graph embedding
- low dimensional
- linear discriminant analysis
- face images
- kernel pca
- appearance based object recognition
- feature space
- low rank
- extracting features
- high dimensional data
- factorization method
- low rank approximation
- neural network
- reduced dimensionality
- discriminant analysis