A maximum uncertainty LDA-based approach for limited sample size problems - with application to face recognition.
Carlos E. ThomazEdson C. KitaniDuncan Fyfe GilliesPublished in: J. Braz. Comput. Soc. (2006)
Keyphrases
- sample size
- small sample size
- linear discriminant analysis
- random sampling
- high dimensionality
- model selection
- optimality conditions
- confidence intervals
- statistical power
- covariance matrix
- feature selection
- small samples
- upper bound
- special case
- high dimensional
- feature space
- small sample
- progressive sampling
- pac learning
- regression problems
- discriminant analysis
- high dimensional data
- dimensionality reduction
- worst case
- face recognition