Low-Rank Modeling of Local Sinogram Neighborhoods with Tomographic Applications.
Rodrigo A. LobosRichard M. LeahyJustin P. HaldarPublished in: ACSSC (2019)
Keyphrases
- low rank
- missing data
- linear combination
- convex optimization
- matrix completion
- matrix factorization
- rank minimization
- high dimensional data
- singular value decomposition
- low rank matrix
- limited angle
- robust principal component analysis
- trace norm
- semi supervised
- minimization problems
- pairwise
- kernel matrix
- matrix decomposition
- learning algorithm
- high order
- data matrix
- collaborative filtering
- least squares
- low rank matrices