On The Relaxation of Orthogonal Tensor Rank and Its Nonconvex Riemannian Optimization for Tensor Completion.
Keisuke OzawaPublished in: ICASSP (2022)
Keyphrases
- high order
- optimization problems
- higher order
- global optimization
- riemannian framework
- diffusion tensor
- tensor field
- symmetric positive definite
- objective function
- convex relaxation
- semidefinite
- convex optimization
- dt mri
- frobenius norm
- optimization algorithm
- order tensor
- riemannian manifolds
- lagrangian relaxation
- nonlinear programming
- tensor product
- log euclidean
- euclidean distance
- subgradient method