Orthogonal vs. uncorrelated least squares discriminant analysis for feature extraction.
Feiping NieShiming XiangYun LiuChenping HouChangshui ZhangPublished in: Pattern Recognit. Lett. (2012)
Keyphrases
- discriminant analysis
- discriminant vectors
- least squares
- feature extraction
- linear discriminant analysis
- face recognition
- gabor wavelets
- principal component analysis
- discriminant projection
- scatter matrices
- fisher criterion
- fisher discriminant analysis
- preprocessing
- wavelet transform
- kernel principal component analysis
- partial least squares
- feature vectors
- feature space
- fisher linear discriminant analysis
- generalized linear
- kernel discriminant analysis
- data sets
- discriminant subspace
- dimension reduction
- support vector machine svm
- feature set
- similarity measure
- ls svm
- singular value decomposition
- dimensionality reduction
- image processing
- feature selection