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