Tight bounds for minimum l1-norm interpolation of noisy data.
Guillaume WangKonstantin DonhauserFanny YangPublished in: CoRR (2021)
Keyphrases
- noisy data
- tight bounds
- upper bound
- noise tolerant
- missing data
- intrinsic dimensionality
- image interpolation
- missing values
- noise free
- high dimensional
- input data
- learning from noisy data
- data sets
- database
- dimensionality reduction
- color images
- objective function
- multiscale
- interpolation method
- training data
- image processing
- feature selection