L1-Norm Based Linear Discriminant Analysis: An Application to Face Recognition.
Wei ZhouSei-ichiro KamataPublished in: IEICE Trans. Inf. Syst. (2013)
Keyphrases
- linear discriminant analysis
- discriminant analysis
- face recognition
- principal component analysis
- dimensionality reduction
- dimension reduction
- small sample size
- discriminant features
- feature extraction
- feature space
- support vector machine svm
- null space
- high dimensional data
- support vector
- fisher criterion
- dealing with high dimensional data
- discriminative information
- subspace methods
- multivariate statistical
- principal components analysis
- objective function
- high dimensionality
- class separability
- linear discriminant
- scatter matrices
- nonparametric discriminant analysis
- kernel pca
- principal components
- high dimensional
- scatter matrix
- data sets