Integration of Heteroscedastic Linear Discriminant Analysis (HLDA) Into Adaptive Training.
Georg StemmerFabio BrugnaraPublished in: ICASSP (1) (2006)
Keyphrases
- linear discriminant analysis
- discriminant analysis
- principal component analysis
- dimension reduction
- dimensionality reduction
- face recognition
- feature extraction
- feature space
- discriminant features
- support vector
- small sample size
- discriminative information
- fisher criterion
- high dimensional data
- null space
- support vector machine svm
- subspace methods
- training set
- class separability
- linear discriminant
- multivariate statistical
- subspace analysis
- generalized discriminant analysis
- face images
- data sets
- training samples
- supervised learning
- scatter matrix
- nearest neighbor
- high dimensional