Probabilistic smallest enclosing ball in high dimensions via subgradient sampling.
Amer KrivosijaAlexander MunteanuPublished in: CoRR (2019)
Keyphrases
- high dimensions
- high dimensional data
- high dimensional
- high dimensional spaces
- indexing schemes
- poor quality
- convex optimization
- probabilistic model
- bayesian networks
- generative model
- dimensionality reduction
- convex hull
- multi dimensional
- databases
- image data
- euclidean distance
- multiresolution
- feature space
- data analysis
- learning algorithm
- machine learning
- neural network