MBLDA: A novel multiple between-class linear discriminant analysis.
Zhen WangYuan-Hai ShaoLan BaiChun-Na LiLi-Ming LiuNai-Yang DengPublished in: Inf. Sci. (2016)
Keyphrases
- linear discriminant analysis
- discriminant analysis
- fisher criterion
- scatter matrix
- null space
- class separability
- principal component analysis
- face recognition
- scatter matrices
- linear discriminant
- dimensionality reduction
- discriminant features
- supervised dimensionality reduction
- small sample size
- support vector
- dimension reduction
- kernel discriminant analysis
- class discrimination
- feature space
- principal components analysis
- high dimensional data
- equivalence relationship
- feature extraction
- discriminant information
- subspace methods
- support vector machine svm
- multivariate statistical
- discriminative information
- discriminant vectors
- locality preserving projections
- feature selection
- novelty detection
- model selection
- high dimensional
- pattern recognition
- nonparametric discriminant analysis