Feature extraction via generalized uncorrelated linear discriminant analysis.
Jieping YeRavi JanardanQi LiHaesun ParkPublished in: ICML (2004)
Keyphrases
- linear discriminant analysis
- feature extraction
- discriminant vectors
- discriminant analysis
- principal component analysis
- face recognition
- dimensionality reduction
- dimension reduction
- support vector machine svm
- discriminant features
- feature space
- small sample size
- null space
- high dimensional data
- pattern recognition
- subspace methods
- fisher criterion
- linear discriminant
- discriminative information
- support vector
- principal components analysis
- image processing
- gabor wavelets
- scatter matrices
- gabor features
- feature vectors
- scatter matrix
- discriminant projection
- image classification
- feature set
- locality preserving projections
- kernel pca
- computer vision
- texture features
- finite dimensional
- data points
- high dimensional
- data analysis