Robust PCA: Low rank matrix estimation with hard or soft thresholding-based outlier rejection.
Brian E. MooreRaj Rao NadakuditiPublished in: GlobalSIP (2016)
Keyphrases
- outlier rejection
- low rank matrix
- low rank
- singular value decomposition
- principal component analysis
- feature matching
- feature tracking
- approximation methods
- matrix factorization
- convex optimization
- soft thresholding
- dimensionality reduction
- semi supervised
- face recognition
- principal components
- sparse matrix
- video sequences
- computer vision