Sparse Polynomial Interpolation by Variable Shift in the Presence of Noise and Outliers in the Evaluations.
Brice BoyerMatthew T. ComerErich L. KaltofenPublished in: ASCM (2012)
Keyphrases
- noisy data
- missing data
- sparse sampling
- measurement errors
- measurement error
- outlier detection
- high dimensional
- signal to noise ratio
- noise level
- piecewise polynomial
- imaging artifacts
- sparse representation
- low pass filtering
- random noise
- arbitrary shape
- robust statistical
- interpolation method
- image noise
- sparse data
- additive noise
- noise reduction
- linear interpolation
- learning algorithm
- classification noise
- data points
- bayesian networks
- face recognition