Keyphrases
- noisy data
- principal component analysis
- kernel pca
- linear filters
- kernel principal component analysis
- missing data
- noise tolerant
- high dimensional
- independent component analysis
- intrinsic dimensionality
- principal components
- learning from noisy data
- dimension reduction
- high dimensionality
- feature space
- noise free
- covariance matrix
- discriminant analysis
- low dimensional
- dimensionality reduction
- face images
- face recognition
- input data
- feature extraction
- linear discriminant analysis
- missing values
- positive and negative
- data mining
- image denoising
- training data
- decision trees