The Geometry of Nonlinear Embeddings in Kernel Discriminant Analysis.
Jiae KimYoonkyung LeeZhiyu LiangPublished in: IEEE Trans. Pattern Anal. Mach. Intell. (2023)
Keyphrases
- kernel discriminant analysis
- dimensionality reduction
- discriminant analysis
- multi class
- kernel trick
- linear discriminant analysis
- kernel pca
- face recognition
- kernel function
- manifold learning
- high dimensional data
- nonlinear models
- vector space
- high dimensional feature space
- kernel learning
- euclidean space
- machine learning
- high dimensional
- low dimensional
- piecewise linear
- kernel matrix
- principal component analysis
- data points
- dimensionality reduction methods
- feature space
- pattern recognition
- computer vision