Regularization studies of linear discriminant analysis in small sample size scenarios with application to face recognition.
Juwei LuKonstantinos N. PlataniotisAnastasios N. VenetsanopoulosPublished in: Pattern Recognit. Lett. (2005)
Keyphrases
- small sample size
- linear discriminant analysis
- discriminant analysis
- face recognition
- dimensionality reduction
- principal component analysis
- sample size
- high dimensionality
- feature extraction
- high dimensional
- dimension reduction
- feature space
- null space
- high dimensional data
- involving high dimensional data
- support vector
- fisher criterion
- microarray data
- discriminative information
- linear discriminant
- support vector machine svm
- data points
- pattern recognition
- gene expression data
- similarity measure
- decision trees
- data sets
- locality preserving projections
- database