Towards a Combination of Low Rank and Sparsity in EIT Imaging.
Qi WangFei LiJianming WangXiaojie DuanXiuyan LiPublished in: IEEE Access (2019)
Keyphrases
- low rank
- sparsity constraints
- convex optimization
- linear combination
- missing data
- matrix factorization
- group lasso
- matrix completion
- high dimensional data
- low rank matrix
- singular value decomposition
- semi supervised
- regularized regression
- image processing
- rank minimization
- kernel matrix
- high order
- trace norm
- robust principal component analysis
- matrix decomposition
- high dimensional
- non rigid structure from motion
- singular values
- data sets
- sparse representation
- low rank matrices
- computer vision
- minimization problems
- pattern recognition
- data matrix
- image classification
- sparse approximation
- tensor factorization
- high resolution
- object detection
- low rank and sparse
- image restoration