Sharp estimates on random hyperplane tessellations.
Sjoerd DirksenShahar MendelsonAlexander StollenwerkPublished in: CoRR (2022)
Keyphrases
- hyperplane
- support vector
- training samples
- input space
- data points
- feature space
- principal components
- support vector machine
- maximal margin
- convex hull
- classification procedure
- kernel function
- linear classifiers
- incremental learning algorithm
- svm classifier
- locality sensitive
- support vectors
- linearly separable
- principal direction
- linear separability
- small number
- high quality
- data mining
- high dimensional
- image processing
- computer vision