Sharp Estimates on Random Hyperplane Tessellations.
Sjoerd DirksenShahar MendelsonAlexander StollenwerkPublished in: SIAM J. Math. Data Sci. (2022)
Keyphrases
- hyperplane
- support vector
- data points
- training samples
- input space
- feature space
- support vector machine
- principal components
- incremental learning algorithm
- convex hull
- maximal margin
- linear classifiers
- linearly separable
- svm classifier
- data sets
- support vectors
- locality sensitive
- kernel function
- average distance
- classification procedure
- kernel space
- learning algorithm
- high quality
- feature selection
- dimensionality reduction
- active learning
- high dimensional
- image processing
- linear separability