Face recognition using direct, weighted linear discriminant analysis and modular subspaces.
Jeffery R. PriceTimothy F. GeePublished in: Pattern Recognit. (2005)
Keyphrases
- linear discriminant analysis
- principal component analysis
- high dimensional data
- discriminant information
- face recognition
- discriminant analysis
- face images
- linear projection
- null space
- dimensionality reduction
- linear subspace
- feature space
- small sample size
- discriminant features
- face databases
- low dimensional
- feature extraction
- human faces
- dimension reduction
- high dimensional
- discriminative information
- support vector machine svm
- support vector
- subspace analysis
- fisher criterion
- linear discriminant
- facial images
- subspace methods
- data sets
- data points
- facial expressions
- face verification
- scatter matrices
- high dimensionality
- principal components
- subspace clustering
- data analysis
- subspace learning
- nearest neighbor
- clustering algorithm
- independent component analysis
- high dimensional feature space
- feature vectors
- input data
- recognition rate
- lower dimensional
- scatter matrix