Localized Linear Discriminant Analysis.
Irina CzogielKarsten LuebkeMarc ZentgrafClaus WeihsPublished in: GfKl (2006)
Keyphrases
- linear discriminant analysis
- discriminant analysis
- dimensionality reduction
- face recognition
- small sample size
- principal component analysis
- feature extraction
- discriminant features
- support vector
- feature space
- dimension reduction
- discriminative information
- principal components analysis
- high dimensional data
- support vector machine svm
- fisher criterion
- class separability
- subspace methods
- linear projection
- linear discriminant
- dealing with high dimensional data
- multivariate statistical
- null space
- logistic regression
- scatter matrices
- face detection
- kernel function
- computer vision
- data sets