On counting point-hyperplane incidences.
Peter BraßChristian KnauerPublished in: Comput. Geom. (2003)
Keyphrases
- hyperplane
- normal vectors
- support vector
- data points
- input space
- feature space
- training samples
- support vector machine
- linear classifiers
- kernel function
- classification procedure
- principal components
- linearly separable
- incremental learning algorithm
- convex hull
- nearest point
- locality sensitive
- training data
- weight vector
- support vectors
- average distance
- maximal margin
- svm classifier
- image data
- kernel space
- feature extraction
- principal direction
- data sets