-Norm Linear Discriminant Analysis and Binary Hypothesis Testing.
Yibin TangXufei LiYing ChenYuan ZhongAimin JiangChun WangPublished in: IEEE Access (2020)
Keyphrases
- hypothesis testing
- linear discriminant analysis
- discriminant analysis
- face recognition
- dimensionality reduction
- dimension reduction
- principal component analysis
- small sample size
- statistical tests
- feature space
- support vector machine svm
- high dimensional data
- feature extraction
- null space
- support vector
- fisher criterion
- hypothesis tests
- scatter matrix
- high dimensional
- objective function
- training samples
- confidence intervals
- model selection
- probabilistic model
- scatter matrices
- decision trees
- feature selection