Low-Rank Tensor Subspace Decomposition With Weighted Group Sparsity for the Acceleration of Non-Cartesian Dynamic MRI.
Bei LiuZekang DingYufei ZhangHuajun SheYiping P. DuPublished in: IEEE Trans. Biomed. Eng. (2023)
Keyphrases
- low rank
- group sparsity
- tensor decomposition
- high dimensional data
- high order
- rank minimization
- trace norm
- linear combination
- matrix factorization
- singular value decomposition
- convex optimization
- missing data
- structured sparsity
- dimensionality reduction
- semi supervised
- kernel matrix
- dictionary learning
- sparse coding
- nearest neighbor
- feature space
- higher order
- principal component analysis
- low dimensional
- high resolution
- data sets
- multiscale
- group lasso
- training data
- data analysis
- least squares
- high dimensional
- image processing