Spatially regularized low-rank tensor approximation for accurate and fast tractography.
Johannes GruenSamuel GroeschelThomas SchultzPublished in: NeuroImage (2023)
Keyphrases
- trace norm
- low rank
- frobenius norm
- ell norm
- high order
- linear combination
- convex optimization
- tensor decomposition
- missing data
- matrix factorization
- matrix decomposition
- matrix completion
- low rank approximation
- kernel matrix
- rank minimization
- singular value decomposition
- high dimensional data
- multi task
- semi supervised
- diffusion tensor
- minimization problems
- low rank matrix
- higher order
- norm minimization
- tensor factorization
- low rank matrices
- approximation methods
- singular values
- white matter