Linear Discriminant Analysis Based on L1-Norm Maximization.
Fujin ZhongJiashu ZhangPublished in: IEEE Trans. Image Process. (2013)
Keyphrases
- linear discriminant analysis
- discriminant analysis
- objective function
- principal component analysis
- face recognition
- dimensionality reduction
- discriminant features
- support vector machine svm
- dimension reduction
- small sample size
- support vector
- null space
- high dimensional data
- dealing with high dimensional data
- feature space
- feature extraction
- multivariate statistical
- subspace methods
- class separability
- fisher criterion
- qr decomposition
- discriminative information
- principal components analysis
- pattern recognition
- linear discriminant
- scatter matrices
- data sets
- k nearest neighbor
- generalized discriminant analysis
- neural network
- kernel pca
- data points
- support vector machine
- sparse representation