Covering Lattice Points by Subspaces and Counting Point-Hyperplane Incidences.
Martin BalkoJosef CibulkaPavel ValtrPublished in: Discret. Comput. Geom. (2019)
Keyphrases
- hyperplane
- lattice points
- normal vectors
- data points
- feature space
- support vector
- input space
- kernel function
- training samples
- geometric properties
- maximal margin
- principal components
- contour points
- high dimensional feature space
- convex hull
- low dimensional
- support vector machine
- high dimensional data
- support vectors
- linearly separable
- dimensionality reduction
- high dimensional
- nearest point
- linear separability
- machine learning
- object recognition