Applications of Two-Dimensional Heteroscedastic Discriminant Analysis in Face Recognition.
Jun-Ying ZengJun-Ying GanSi-Bin HePublished in: ICIC (3) (2010)
Keyphrases
- discriminant analysis
- linear discriminant analysis
- face recognition
- principal component analysis
- feature extraction
- dimensionality reduction
- face images
- subspace methods
- feature space
- generalized linear
- fisher criterion
- null space
- gabor wavelets
- partial least squares
- high dimensional data
- support vector
- generalized discriminant analysis
- locality preserving projections
- face space
- kernel discriminant analysis
- dimensionality reduction methods
- fisher linear discriminant analysis
- facial expressions
- face databases
- facial images
- face detection
- computer vision
- kernel fisher discriminant analysis
- discriminant vectors
- data sets
- sparse representation
- high dimensional
- association rules
- discriminant projection
- data mining