Locally Supervised Discriminant Analysis in Kernel Space.
Cai-Kou ChenJun ShiYiming YuPublished in: CIS (1) (2009)
Keyphrases
- discriminant analysis
- kernel space
- principal components
- principal component analysis
- discriminant projection
- feature space
- linear discriminant analysis
- hyperplane
- face recognition
- feature extraction
- maximum margin
- partial least squares
- high dimensional
- unsupervised learning
- learning algorithm
- semi supervised
- machine learning
- feature selection
- cluster analysis
- reduced set
- expectation maximization
- dimensionality reduction
- feature vectors
- support vector
- clustering algorithm
- scatter matrices