Robust Linear Discriminant Analysis Using Ratio Minimization of L1, 2-Norms.
Feiping NieHua WangZheng WangHeng HuangPublished in: CoRR (2019)
Keyphrases
- linear discriminant analysis
- discriminant analysis
- dimensionality reduction
- face recognition
- principal component analysis
- feature extraction
- dimension reduction
- null space
- discriminant features
- feature space
- linear discriminant
- support vector
- small sample size
- multivariate statistical
- support vector machine svm
- high dimensional data
- principal components analysis
- discriminative information
- fisher criterion
- subspace methods
- face images
- computer vision
- nonparametric discriminant analysis
- qr decomposition
- class separability
- original data
- k nearest neighbor