Kernel Alignment Inspired Linear Discriminant Analysis.
Shuai ZhengChris H. Q. DingPublished in: ECML/PKDD (3) (2014)
Keyphrases
- reproducing kernel hilbert space
- linear discriminant analysis
- kernel function
- kernel methods
- support vector
- discriminant analysis
- feature space
- dimensionality reduction
- dimension reduction
- face recognition
- principal component analysis
- input space
- discriminant features
- support vector machine svm
- distance measure
- feature extraction
- small sample size
- null space
- kernel discriminant analysis
- high dimensional data
- subspace methods
- fisher criterion
- linear discriminant
- generalized discriminant analysis
- discriminative information
- support vector machine
- kernel pca
- scatter matrix
- feature vectors
- pattern recognition
- logistic regression
- face alignment
- model selection
- discriminant vectors
- face detection