Dimensionality Reduction and Bandwidth Selection for Spatial Kernel Discriminant Analysis.
Soumia BoumeddaneLeila HamdadHamid HaddadouSophie Dabo-NiangPublished in: ICAART (2) (2021)
Keyphrases
- kernel discriminant analysis
- dimensionality reduction
- discriminant analysis
- multi class
- linear discriminant analysis
- kernel trick
- face recognition
- high dimensional
- principal component analysis
- kernel function
- kernel learning
- high dimensional data
- feature extraction
- pattern recognition
- input space
- dimensionality reduction methods
- low dimensional
- feature space
- data representation
- data sets
- principal components
- feature selection
- kernel methods
- metric learning
- principal components analysis
- kernel pca
- computer vision