Total Least Squares Regression in Input Sparsity Time.
Huaian DiaoZhao SongDavid P. WoodruffXin YangPublished in: CoRR (2019)
Keyphrases
- total least squares
- ordinary least squares
- image restoration
- regularized least squares
- sparse representation
- ridge regression
- model selection
- regression model
- high dimensional
- interior point methods
- face recognition
- feature extraction
- high resolution
- total variation
- support vector regression
- reproducing kernel hilbert space