Practical Low-Dimensional Halfspace Range Space Sampling.
Michael MathenyJeff M. PhillipsPublished in: CoRR (2018)
Keyphrases
- low dimensional
- high dimensional
- dimensionality reduction
- input space
- euclidean space
- manifold learning
- feature space
- high dimensional data
- vector space
- data points
- dimension reduction
- higher dimensional
- real world
- principal component analysis
- wide range
- lower dimensional
- low dimensional spaces
- parameter space
- embedding space
- multidimensional scaling
- linear subspace
- high dimensional data space
- high dimensional spaces
- random projections
- neural network
- latent space
- graph embedding
- low dimensionality
- feature extraction
- range data