Robust Hierarchical-Optimization RLS Against Sparse Outliers.
Konstantinos SlavakisSinjini BanerjeePublished in: CoRR (2019)
Keyphrases
- low rank representation
- robust statistics
- regularized least squares
- optimization algorithm
- sparse representation
- robust statistical
- least squares
- optimization method
- data points
- global optimization
- low rank
- constrained optimization
- imaging artifacts
- robust estimation
- high dimensional
- hierarchical structure
- recursive least squares
- optimization process
- optimization methods
- norm minimization
- robust estimator
- sparsity constraints
- robust regression
- sparse pca
- missing data
- multi objective