Sparse support vector machines by kernel discriminant analysis.
Kazuki IwamuraShigeo AbePublished in: ESANN (2009)
Keyphrases
- kernel discriminant analysis
- support vector
- kernel function
- linear discriminant analysis
- discriminant analysis
- kernel trick
- maximum margin
- multi class
- high dimensional
- dimensionality reduction
- face recognition
- support vector machine
- kernel methods
- feature space
- kernel learning
- support vector regression
- sparse representation
- svm classifier
- generalization ability
- sparse coding
- cross validation
- loss function
- classification accuracy
- feature selection
- input space
- hyperplane
- logistic regression
- training examples
- binary classification
- support vectors
- learning algorithm
- active learning
- high dimensional feature space
- pattern recognition