Statistical Issues with Labeled Sample Size Analysis for Semi-Supervised Linear Discriminant Analysis.
Han LiuDi WuJi ZhangXiaolin YangXiaobin YuanRafal KustraPublished in: IC-AI (2004)
Keyphrases
- sample size
- small sample size
- linear discriminant analysis
- semi supervised
- discriminant analysis
- confidence intervals
- random sampling
- principal component analysis
- model selection
- face recognition
- statistical tests
- feature extraction
- high dimensionality
- feature space
- high dimensional
- high dimensional data
- computer vision
- null space
- worst case
- upper bound
- support vector
- objective function
- feature selection