Orthogonal Matching Pursuit with Noisy and Missing Data: Low and High Dimensional Results
Yudong ChenConstantine CaramanisPublished in: CoRR (2012)
Keyphrases
- missing data
- high dimensional
- incomplete data
- orthogonal matching pursuit
- missing values
- low dimensional
- similarity search
- dimensionality reduction
- sparse representation
- transform domain
- compressed sensing
- small number
- data points
- high dimensional data
- computer vision
- nearest neighbor
- high dimensionality
- sparse approximation
- feature space