On the existence and distribution quality of hyperplane sequences.
Friedrich PillichshammerGottlieb PirsicPublished in: Finite Fields Their Appl. (2013)
Keyphrases
- hyperplane
- data points
- training samples
- support vector
- feature space
- input space
- support vector machine
- high quality
- linear classifiers
- linearly separable
- incremental learning algorithm
- maximal margin
- decision boundary
- locality sensitive
- probability distribution
- normal vectors
- kernel function
- convex hull
- principal components
- support vectors
- classification procedure
- image classification