Online search for a hyperplane in high-dimensional Euclidean space.
Antonios AntoniadisRuben HoeksmaSándor Kisfaludi-BakKevin SchewiorPublished in: Inf. Process. Lett. (2022)
Keyphrases
- euclidean space
- hyperplane
- online search
- data points
- high dimensional
- low dimensional
- metric space
- input space
- feature space
- nearest neighbor
- training samples
- information seeking
- high dimensional data
- linear classifiers
- euclidean distance
- dimensionality reduction
- riemannian manifolds
- data distribution
- geodesic distance
- support vectors
- distance function
- similarity search
- labeled data
- input data
- multi dimensional
- kernel function
- embedding space
- neural network
- support vector
- vector space
- convex hull
- parameter space
- privacy concerns
- decision trees
- information retrieval