Dense error correction for low-rank matrices via Principal Component Pursuit.
Arvind GaneshJohn WrightXiaodong LiEmmanuel J. CandèsYi MaPublished in: ISIT (2010)
Keyphrases
- error correction
- principal components
- low rank matrices
- principal component analysis
- low rank
- singular value decomposition
- dimensionality reduction
- error detection
- feature set
- image processing
- low rank matrix
- hyperplane
- covariance matrix
- barcode
- matrix completion
- support vector
- watermarking scheme
- feature extraction
- high dimensional data
- feature space