A study for kernel Heteroscedastic Discriminant Analysis in face recognition.
Jun-Ying GanJun-Ying ZengSi-Bin HePublished in: BIC-TA (2010)
Keyphrases
- discriminant analysis
- linear discriminant analysis
- face recognition
- kernel discriminant analysis
- feature extraction
- discriminant subspace
- principal component analysis
- class separability
- fisher discriminant analysis
- generalized discriminant analysis
- fisher linear discriminant analysis
- discriminant vectors
- partial least squares
- kernel fisher discriminant analysis
- dimensionality reduction methods
- kernel principal component analysis
- feature space
- support vector
- face images
- kernel methods
- image processing
- data sets
- facial images
- generalized linear
- fisher criterion
- scatter matrices
- gabor wavelets
- cluster analysis
- dimensionality reduction
- learning algorithm
- data mining