Outlier-Robust Sparse Estimation via Non-Convex Optimization.
Yu ChengIlias DiakonikolasDaniel M. KaneRong GeShivam GuptaMahdi SoltanolkotabiPublished in: CoRR (2021)
Keyphrases
- convex optimization
- low rank matrix
- norm minimization
- dense motion estimation
- norm regularization
- low rank textures
- interior point methods
- low rank
- convex optimization problems
- basis pursuit
- rank minimization
- group lasso
- total variation
- convex relaxation
- primal dual
- compressed sensing
- sparse coding
- operator splitting
- high dimensional
- image processing
- sparse matrix
- missing data
- optimization problems
- multiresolution