The Geometry of Nonlinear Embeddings in Kernel Discriminant Analysis.
Jiae KimYoonkyung LeeZhiyu LiangPublished in: CoRR (2020)
Keyphrases
- kernel discriminant analysis
- dimensionality reduction
- discriminant analysis
- multi class
- linear discriminant analysis
- kernel trick
- kernel pca
- face recognition
- manifold learning
- kernel function
- high dimensional feature space
- low dimensional
- vector space
- kernel methods
- learning algorithm
- natural images
- maximum likelihood
- pairwise
- image processing