A New Approach That Selects a Single Hyperplane from the Optimal Pairwise Linear Classifier.
Luís G. RuedaPublished in: CIARP (2003)
Keyphrases
- linear classifiers
- hyperplane
- pairwise
- linearly separable
- multi class
- feature space
- support vector
- support vector machine
- decision boundary
- training samples
- data points
- input space
- convex hull
- support vectors
- kernel function
- principal components
- svm classifier
- optimal solution
- similarity measure
- worst case
- kernel methods
- closed form
- generalization error
- high dimensional
- dimensionality reduction
- upper bound
- objective function