Covering Lattice Points by Subspaces and Counting Point-Hyperplane Incidences.
Martin BalkoJosef CibulkaPavel ValtrPublished in: SoCG (2017)
Keyphrases
- hyperplane
- lattice points
- normal vectors
- data points
- feature space
- input space
- support vector
- training samples
- geometric properties
- support vector machine
- low dimensional
- linearly separable
- principal components
- principal component analysis
- convex hull
- contour points
- maximal margin
- nearest point
- high dimensional data
- high dimensional feature space
- support vectors
- svm classifier
- high dimensional
- machine learning
- feature selection
- face recognition
- image sequences
- image processing
- computer vision