Intrinsic Dimension Estimation Using Wasserstein Distance.
Adam BlockZeyu JiaYury PolyanskiyAlexander RakhlinPublished in: J. Mach. Learn. Res. (2022)
Keyphrases
- intrinsic dimension
- intrinsic dimensionality
- high dimensions
- vector space
- dimensionality reduction
- dimension reduction
- noisy data
- high dimensional data
- diffusion maps
- data distribution
- low dimensional
- sparse representation
- data sets
- probability density
- singular values
- nearest neighbor
- probabilistic model
- high dimensional
- similarity search
- image classification
- distance measure
- data points
- pattern recognition
- computer vision