Linear Discriminant Analysis under $f$-divergence Measures.
Anmol DwivediSihui WangAli TajerPublished in: ISIT (2021)
Keyphrases
- linear discriminant analysis
- discriminant analysis
- principal component analysis
- dimensionality reduction
- face recognition
- feature extraction
- small sample size
- dimension reduction
- support vector machine svm
- null space
- discriminant features
- feature space
- support vector
- linear discriminant
- principal components analysis
- fisher criterion
- discriminative information
- subspace methods
- multivariate statistical
- locality preserving projections
- high dimensional data
- scatter matrix
- class separability
- high dimensional
- qr decomposition
- feature selection
- subspace analysis
- pattern recognition
- discriminant information