A Novel One-Parameter Regularized Linear Discriminant Analysis for Solving Small Sample Size Problem in Face Recognition.
Wensheng ChenPong Chi YuenJian HuangDao-Qing DaiPublished in: SINOBIOMETRICS (2004)
Keyphrases
- linear discriminant analysis
- face recognition
- discriminant analysis
- kernel discriminant analysis
- principal component analysis
- discriminant features
- dimension reduction
- dimensionality reduction
- feature extraction
- small sample size
- null space
- face images
- fisher criterion
- support vector
- subspace methods
- recognition rate
- scatter matrix
- support vector machine svm
- high dimensional data
- generalized discriminant analysis
- face databases
- discriminative information
- least squares
- facial expressions
- feature space
- locality preserving projections
- linear discriminant
- facial images
- high dimensional
- nonparametric discriminant analysis
- feature analysis
- subspace analysis
- scatter matrices
- discriminant vectors