Compartmentalized low-rank regularization with orthogonality constraints for high-resolution MRSI.
Ipshita BhattacharyaMathews JacobPublished in: ISBI (2016)
Keyphrases
- low rank
- trace norm
- rank minimization
- high resolution
- minimization problems
- group sparsity
- matrix factorization
- missing data
- linear combination
- convex optimization
- kernel matrices
- low rank matrix
- matrix decomposition
- matrix completion
- high order
- high dimensional data
- singular value decomposition
- semi supervised
- nonnegative matrix factorization
- rank constraint
- low resolution
- kernel matrix
- image processing
- super resolution
- robust principal component analysis
- singular values
- low rank approximation
- higher order
- low rank matrices
- multi task
- norm minimization
- potential functions
- least squares
- small number
- pattern recognition
- high quality