Optimal kernel selection in Kernel Fisher discriminant analysis.
Seung-Jean KimAlessandro MagnaniStephen P. BoydPublished in: ICML (2006)
Keyphrases
- kernel fisher discriminant analysis
- optimal kernel
- kernel function
- feature space
- linear combination
- discriminant analysis
- kernel learning
- convex sets
- kernel methods
- multiple kernel
- multiple kernel learning
- face recognition
- objective function
- kernel pca
- kernel principal component analysis
- kernel matrix
- support vector machine
- support vector regression
- low rank
- machine learning
- convex hull
- high dimensional
- training samples