Convex Hull in Feature Space for Support Vector Machines.
Edgar OsunaOsberth De CastroPublished in: IBERAMIA (2002)
Keyphrases
- convex hull
- hyperplane
- feature space
- support vector
- kernel function
- large margin classifiers
- learning machines
- training samples
- classification accuracy
- data points
- support vector machine
- input space
- kernel methods
- feature selection
- linearly separable
- high dimensional
- support vectors
- mixed integer
- high dimensional feature space
- linear discriminant analysis
- convex polyhedra
- maximum margin
- point sets
- feasible solution
- computational geometry
- low dimensional
- simple polygon
- feature vectors
- training set
- convex sets
- principal component analysis
- linear inequalities
- extreme points
- convex concave
- machine learning
- linear programming
- feature extraction
- totally unimodular