Kernel Alignment Inspired Linear Discriminant Analysis.
Shuai ZhengChris H. Q. DingPublished in: CoRR (2016)
Keyphrases
- linear discriminant analysis
- kernel discriminant analysis
- class separability
- generalized discriminant analysis
- support vector
- feature space
- discriminant analysis
- face recognition
- kernel pca
- dimensionality reduction
- principal component analysis
- feature extraction
- discriminant features
- small sample size
- kernel function
- support vector machine svm
- dimension reduction
- null space
- high dimensional data
- subspace methods
- discriminative information
- kernel methods
- multi class
- kernel matrix
- data sets
- scatter matrices
- input space
- low dimensional
- linear discriminant
- fisher criterion
- feature selection
- optimization criterion
- kernel trick
- pattern recognition
- neural network