Using Low-Rank Tensors for the Recovery of MPI System Matrices.
Mirco GrosserMartin MöddelTobias KnoppPublished in: IEEE Trans. Computational Imaging (2020)
Keyphrases
- low rank
- matrix completion
- high order
- low rank matrix
- singular value decomposition
- data matrix
- matrix decomposition
- frobenius norm
- singular values
- kernel matrix
- low rank approximation
- eigendecomposition
- low rank and sparse
- matrix factorization
- positive definite
- linear combination
- convex optimization
- low rank matrices
- missing data
- affinity matrix
- high dimensional data
- rank minimization
- message passing
- higher order
- positive semidefinite
- robust principal component analysis
- diffusion tensor
- tensor factorization
- binary matrices
- rows and columns
- semi supervised
- collaborative filtering
- pairwise
- norm minimization
- sparse matrix
- binary matrix