Iterative Double Laplacian-Scaled Low-Rank Optimization for Under-Sampled and Noisy Signal Recovery.
Qiang ZhaoQizhen DuWenhan SunYangkang ChenPublished in: IEEE Trans. Geosci. Remote. Sens. (2019)
Keyphrases
- low rank
- signal recovery
- low rank and sparse
- missing data
- convex optimization
- linear combination
- matrix completion
- matrix factorization
- low rank matrix
- high order
- singular value decomposition
- high dimensional data
- semi supervised
- projections onto convex sets
- convex relaxation
- orthogonal matching pursuit
- incomplete data
- image processing
- collaborative filtering
- object recognition
- norm minimization
- compressed sensing
- dictionary learning
- image features
- data sets
- spatial domain
- sparse coding
- least squares