Foreground detection based on low-rank and block-sparse matrix decomposition.
Charles GuyonThierry BouwmansEl-Hadi ZahzahPublished in: ICIP (2012)
Keyphrases
- low rank
- low rank subspace
- matrix decomposition
- low rank matrix
- linear combination
- missing data
- robust principal component analysis
- convex optimization
- matrix factorization
- foreground detection
- semi supervised
- singular value decomposition
- kernel matrix
- high order
- high dimensional data
- data matrix
- singular values
- computer vision
- low rank approximation
- least squares
- feature selection