On Using Prototype Reduction Schemes to Optimize Kernel-Based Fisher Discriminant Analysis.
Sang-Woon KimB. John OommenPublished in: IEEE Trans. Syst. Man Cybern. Part B (2008)
Keyphrases
- fisher discriminant analysis
- multiple kernel learning
- kernel trick
- discriminant analysis
- kernel methods
- factor analysis
- maximum margin
- dimensionality reduction
- support vector
- kernel pca
- locality preserving
- principal component analysis
- kernel function
- feature space
- infinite dimensional
- dimensionality reduction methods
- feature extraction
- high dimensional feature space
- nonlinear models
- learning models
- kernel learning
- multi task
- linear discriminant analysis
- linear combination
- support vector machine
- face recognition
- feature selection
- learning algorithm
- input space
- discriminative learning