Regularized Linear Discriminant Analysis Using a Nonlinear Covariance Matrix Estimator.
Maaz MahadiTarig BallalMuhammad MoinuddinTareq Y. Al-NaffouriUbaid M. Al-SaggafPublished in: IEEE Trans. Signal Process. (2024)
Keyphrases
- covariance matrix
- linear discriminant analysis
- principal component analysis
- generalized discriminant analysis
- discriminant analysis
- kernel pca
- least squares
- principal components analysis
- dimensionality reduction
- covariance matrices
- face recognition
- dimension reduction
- principal components
- objective function
- feature extraction
- null space
- gaussian mixture
- small sample size
- independent component analysis
- low dimensional
- discriminative information
- high dimensional data
- feature space
- sample size
- maximum likelihood
- subspace methods
- random projections
- support vector
- singular value decomposition
- data sets
- data analysis
- machine learning