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