Outlier-Robust High-Dimensional Sparse Estimation via Iterative Filtering.
Ilias DiakonikolasDaniel KaneSushrut KarmalkarEric PriceAlistair StewartPublished in: NeurIPS (2019)
Keyphrases
- high dimensional
- sparse data
- dense motion estimation
- estimation problems
- generalized linear models
- robust estimation
- decision directed
- sparse coding
- estimation algorithm
- variable selection
- real time face tracking
- low dimensional
- estimation error
- feature extraction
- robust regression
- orientation estimation
- high dimension
- input space
- metric space
- outlier detection
- sparse representation
- similarity search
- dimensionality reduction
- partial occlusion
- optical flow
- compressed sensing
- parameter space
- high dimensionality
- signal reconstruction
- additive models
- parameter estimation
- nearest neighbor