A Sparse Fast Chebyshev Transform for High-Dimensional Approximation.
Dalton JonesPierre-David LetourneauMatthew J. MorseMatthew Harper LangstonPublished in: CoRR (2023)
Keyphrases
- high dimensional
- sparse data
- low dimensional
- dimensionality reduction
- high dimensionality
- sparse coding
- high dimensional data
- error bounds
- additive models
- high dimension
- similarity search
- nearest neighbor
- dimension reduction
- high dimensional problems
- manifold learning
- sparse approximation
- feature space
- data points
- approximation algorithms
- closed form
- metric space
- parameter space
- variable selection
- noisy data
- data sets
- kernel function
- generalized linear models
- support vector