Polynomial approximation via compressed sensing of high-dimensional functions on lower sets.
Abdellah ChkifaNick C. DexterHoang TranClayton G. WebsterPublished in: Math. Comput. (2018)
Keyphrases
- compressed sensing
- polynomial approximation
- high dimensional
- image reconstruction
- random projections
- natural images
- sparse representation
- similarity search
- dimensionality reduction
- lower bound
- signal processing
- compressive sampling
- pointwise
- low dimensional
- nearest neighbor
- feature space
- dimension reduction
- data points
- pattern recognition
- optimal solution