Comparing Linear Discriminant Analysis and Support Vector Machines.
Ibrahim GokcenJing PengPublished in: ADVIS (2002)
Keyphrases
- linear discriminant analysis
- support vector
- discriminant analysis
- dimensionality reduction
- face recognition
- dimension reduction
- small sample size
- principal component analysis
- discriminant features
- high dimensional data
- feature extraction
- support vector machine svm
- logistic regression
- null space
- feature space
- fisher criterion
- discriminative information
- kernel function
- support vector machine
- feature selection
- linear discriminant
- loss function
- svm classifier
- high dimensional
- class separability
- classification accuracy
- discriminant vectors
- generalized discriminant analysis