Regularized discriminant analysis for the small sample size problem in face recognition.
Juwei LuKostas N. PlataniotisAnastasios N. VenetsanopoulosPublished in: Pattern Recognit. Lett. (2003)
Keyphrases
- discriminant analysis
- linear discriminant analysis
- face recognition
- kernel discriminant analysis
- small sample size
- principal component analysis
- feature extraction
- dimensionality reduction
- fisher criterion
- high dimensional data
- quadratic discriminant analysis
- null space
- least squares
- face images
- discriminant vectors
- subspace methods
- gabor wavelets
- support vector machine svm
- face detection
- linear discriminant
- face databases
- feature space
- support vector
- locality preserving projections
- fisher discriminant analysis
- dimensionality reduction methods
- discriminative information
- generalized discriminant analysis
- machine learning
- face identification
- facial images
- facial expressions
- computer vision
- kernel pca
- face verification
- scatter matrices
- independent component analysis
- generalized linear
- nearest neighbor
- support vector machine
- data sets
- discriminant subspace