Nonlinear Discriminant Analysis for MR Brain Images Classification via Kernel Function.
Farzaneh ElahifasaeeManhua LiuMing YangPublished in: ICIT (2019)
Keyphrases
- discriminant analysis
- kernel principal component analysis
- kernel function
- kernel discriminant analysis
- high dimensional feature space
- support vector
- discriminant subspace
- mr brain images
- linear discriminant analysis
- feature space
- feature extraction
- support vector machine
- kernel pca
- face recognition
- kernel learning
- kernel methods
- input space
- dimensionality reduction methods
- feature vectors
- high dimensional
- feature selection
- classification accuracy
- kernel trick
- principal component analysis
- support vector machine svm
- pattern recognition
- pattern classification
- kernel matrix
- image processing
- data sets
- positive definite
- brain images
- k nearest neighbor
- low dimensional
- knn
- pairwise