Keyphrases
- principal component analysis
- principal components analysis
- covariance matrix
- principle component analysis
- dimensionality reduction
- face recognition
- covariance matrices
- feature extraction
- maximum likelihood
- principal components
- appearance based object recognition
- dimension reduction
- independent component analysis
- random projections
- discriminant analysis
- gaussian mixture
- data sets
- linear discriminant analysis
- low dimensional
- high dimensional
- image segmentation
- density function
- gaussian mixture model
- k means
- zero crossing
- gabor features
- multiscale
- multivariate gaussian distribution