On Optimizing Kernel-Based Fisher Discriminant Analysis Using Prototype Reduction Schemes.
Sang-Woon KimB. John OommenPublished in: SSPR/SPR (2006)
Keyphrases
- fisher discriminant analysis
- multiple kernel learning
- kernel trick
- discriminant analysis
- kernel methods
- factor analysis
- maximum margin
- kernel pca
- feature space
- support vector
- dimensionality reduction
- support vector machine
- kernel function
- regression algorithm
- discriminative learning
- machine learning
- high dimensional feature space
- infinite dimensional
- dimensionality reduction methods
- data sets
- input space
- nonlinear models
- kernel learning
- structured output
- pattern recognition