Optimized regularized linear discriminant analysis for feature extraction in face recognition.
Xiaoheng TanLu DengYang YangQian QuLi WenPublished in: Evol. Intell. (2019)
Keyphrases
- linear discriminant analysis
- face recognition
- feature extraction
- discriminant analysis
- kernel discriminant analysis
- principal component analysis
- dimension reduction
- small sample size
- dimensionality reduction
- face images
- fisher criterion
- discriminant features
- support vector machine svm
- subspace methods
- recognition rate
- feature space
- null space
- gabor features
- local binary pattern
- linear discriminant
- support vector
- high dimensional data
- face databases
- generalized discriminant analysis
- least squares
- image classification
- gabor wavelets
- pca lda
- feature analysis
- sparse representation
- pattern recognition
- computer vision
- discriminative information
- kernel principal component analysis
- facial expressions
- locality preserving projections
- feature vectors
- nearest neighbor
- discriminant projection
- scatter matrix
- image processing
- training set
- feature set
- face detection