Ensemble of Randomized Linear Discriminant Analysis for face recognition with single sample per person.
Ying LiWei ShenXun ShiZhijiang ZhangPublished in: FG (2013)
Keyphrases
- linear discriminant analysis
- face recognition
- discriminant analysis
- dimensionality reduction
- small sample size
- support vector
- discriminant features
- principal component analysis
- feature extraction
- dimension reduction
- high dimensional data
- null space
- subspace methods
- locality preserving projections
- nonparametric discriminant analysis
- fisher criterion
- support vector machine svm
- feature space
- recognition rate
- neural network
- subspace analysis
- learning algorithm
- computer vision
- generalized discriminant analysis
- pca lda
- scatter matrix
- independent component analysis
- data sets
- discriminant information
- feature selection
- training data
- gabor features
- discriminative information
- feature analysis
- face databases
- ensemble methods
- training set
- multi class
- facial expressions
- human faces
- face detection