Linear Discriminant Analysis with Maximum Correntropy Criterion.
Wei ZhouSei-ichiro KamataPublished in: ACCV (1) (2012)
Keyphrases
- linear discriminant analysis
- class separability
- discriminant analysis
- face recognition
- dimensionality reduction
- principal component analysis
- feature extraction
- dimension reduction
- small sample size
- feature space
- support vector
- fisher criterion
- linear discriminant
- support vector machine svm
- discriminant features
- feature selection
- principal components analysis
- multivariate statistical
- high dimensional data
- subspace methods
- dealing with high dimensional data
- locality preserving projections
- discriminative information
- optimization criterion
- null space
- discriminant vectors
- scatter matrices
- scatter matrix
- nonparametric discriminant analysis
- low dimensional
- high dimensional
- pattern recognition
- generalized discriminant analysis
- image processing