Robust Hierarchical-Optimization RLS Against Sparse Outliers.
Konstantinos SlavakisSinjini BanerjeePublished in: IEEE Signal Process. Lett. (2020)
Keyphrases
- low rank representation
- regularized least squares
- robust statistics
- robust regression
- optimization algorithm
- optimization problems
- robust statistical
- outlier detection
- optimization method
- global optimization
- compressive sensing
- low rank
- high dimensional
- robust estimator
- robust estimation
- multi layer
- sparse coding
- least squares
- neural network
- hybrid learning
- sparse data
- partial occlusion
- robust optimization
- joint optimization
- coarse to fine
- norm minimization
- missing data
- sparse representation
- sparse pca
- real time face tracking