Two-dimensional Bhattacharyya bound linear discriminant analysis with its applications.
Yan-Ru GuoYan-Qin BaiChun-Na LiLan BaiYuan-Hai ShaoPublished in: Appl. Intell. (2022)
Keyphrases
- linear discriminant analysis
- discriminant analysis
- dimensionality reduction
- face recognition
- principal component analysis
- small sample size
- dimension reduction
- discriminant features
- high dimensional data
- feature extraction
- feature space
- distance measure
- null space
- upper bound
- subspace methods
- fisher criterion
- support vector
- principal components analysis
- lower bound
- multivariate statistical
- linear discriminant
- class separability
- support vector machine svm
- discriminative information
- worst case
- dealing with high dimensional data
- scatter matrix
- independent component analysis
- face detection
- similarity measure
- kernel methods
- scatter matrices
- decision trees
- feature selection
- generalized discriminant analysis
- data sets