Locally Low-Rank tensor regularization for high-resolution quantitative dynamic MRI.
Burhaneddin YamanSebastian WeingärtnerNikolaos KargasNicholas D. SidiropoulosMehmet AkçakayaPublished in: CAMSAP (2017)
Keyphrases
- trace norm
- low rank
- high resolution
- rank minimization
- high order
- matrix completion
- linear combination
- matrix factorization
- low resolution
- multi task
- convex optimization
- missing data
- frobenius norm
- low rank matrix
- singular value decomposition
- high dimensional data
- minimization problems
- semi supervised
- magnetic resonance images
- tensor decomposition
- super resolution
- high quality
- image processing
- singular values
- kernel matrices
- stochastic gradient descent
- norm minimization
- kernel matrix
- image segmentation
- white matter
- small number
- matrix decomposition
- learning algorithm
- data sets