Error bounds for Kernel Fisher Linear Discriminant in Gaussian Hilbert space.
Robert J. DurrantAta KabánPublished in: AISTATS (2012)
Keyphrases
- error bounds
- hilbert space
- fisher linear discriminant
- kernel function
- von neumann
- reproducing kernel hilbert space
- infinite dimensional
- finite dimensional
- face recognition
- principal component analysis
- gaussian kernel
- multivariate time series
- theoretical analysis
- euclidean space
- scale spaces
- convex sets
- worst case
- kernel principal component analysis
- feature extraction
- feature maps
- input space
- kernel methods
- maximum likelihood
- similarity measure