On applying linear discriminant analysis for multi-labeled problems.
Cheong Hee ParkMoonhwi LeePublished in: Pattern Recognit. Lett. (2008)
Keyphrases
- linear discriminant analysis
- small sample size
- discriminant analysis
- dimensionality reduction
- face recognition
- principal component analysis
- feature space
- linear discriminant
- discriminant features
- support vector
- principal components analysis
- involving high dimensional data
- data sets
- dimension reduction
- high dimensional
- training set
- high dimensionality
- sample size
- support vector machine svm
- discriminative information
- similarity measure
- fisher criterion
- feature extraction