Simultaneous non-convex low rank regularization for fast magnetic resonance spectroscopy reconstruction.
Jianxin CaoShujun LiuHongqing LiuKui ZhangShengdong HuPublished in: Digit. Signal Process. (2022)
Keyphrases
- low rank
- minimization problems
- convex optimization
- magnetic resonance spectroscopy
- rank minimization
- trace norm
- nuclear norm
- norm minimization
- linear combination
- low rank matrix
- non rigid structure from motion
- matrix completion
- kernel matrices
- missing data
- singular value decomposition
- matrix factorization
- compressive sensing
- convex relaxation
- semi supervised
- prostate cancer
- kernel matrix
- high dimensional data
- high order
- hinge loss
- risk minimization
- singular values
- image reconstruction
- pairwise
- total variation
- reconstruction error
- machine learning
- image denoising
- loss function
- high resolution
- pattern recognition