Boosting linear discriminant analysis for face recognition.
Juwei LuKonstantinos N. PlataniotisAnastasios N. VenetsanopoulosPublished in: ICIP (1) (2003)
Keyphrases
- linear discriminant analysis
- face recognition
- discriminant analysis
- principal component analysis
- dimension reduction
- feature extraction
- dimensionality reduction
- small sample size
- discriminant features
- subspace methods
- face images
- feature space
- null space
- high dimensional data
- recognition rate
- feature selection
- fisher criterion
- nonparametric discriminant analysis
- ensemble methods
- linear discriminant
- support vector
- facial expressions
- kernel discriminant analysis
- gabor features
- discriminative information
- generalized discriminant analysis
- scatter matrix
- sparse representation
- learning algorithm
- feature analysis
- gabor wavelets
- facial images
- recognition accuracy
- face databases
- knn
- high dimensional
- k nearest neighbor
- subspace analysis
- scatter matrices
- training data
- support vector machine svm
- human faces
- data mining