Linear discriminant analysis with trimmed and difference distribution modeling.
Benson S. Y. LamSiu-Kai ChoyCarisa Kwok Wai YuPublished in: Knowl. Based Syst. (2024)
Keyphrases
- linear discriminant analysis
- discriminant analysis
- face recognition
- principal component analysis
- dimensionality reduction
- dimension reduction
- small sample size
- fisher criterion
- feature space
- high dimensional data
- discriminant features
- multivariate statistical
- feature extraction
- null space
- support vector machine svm
- linear discriminant
- scatter matrix
- dealing with high dimensional data
- subspace methods
- probability distribution
- discriminative information
- principal components analysis
- supervised dimensionality reduction
- nonparametric discriminant analysis
- class separability
- sample size
- knn
- image processing