Kernel Fisher Discriminant Analysis in Full Eigenspace.
Bappaditya MandalXudong JiangAlex ChiChung KotPublished in: IPCV (2007)
Keyphrases
- kernel fisher discriminant analysis
- kernel pca
- kernel methods
- kernel principal component analysis
- discriminant analysis
- principal component analysis
- face recognition
- kernel matrix
- spectral clustering
- input space
- dimensionality reduction
- kernel function
- feature space
- feature extraction
- input image
- optimal kernel
- machine learning
- training samples
- objective function