Euclidean matchings and minimality of hyperplane arrangements.
Davide LofanoGiovanni PaoliniPublished in: Discret. Math. (2021)
Keyphrases
- hyperplane
- data points
- euclidean space
- support vector
- input space
- training samples
- linear classifiers
- euclidean distance
- principal components
- feature space
- support vector machine
- maximal margin
- incremental learning algorithm
- convex hull
- support vectors
- locality sensitive
- average distance
- svm classifier
- kernel function
- linearly separable
- learning algorithm
- classification procedure
- linear separability
- computer vision
- normal vectors
- weight vector
- high resolution
- pattern recognition