A General Framework for Compressed Sensing and Parallel MRI Using Annihilating Filter Based Low-Rank Hankel Matrix.
Kyong Hwan JinDongwook LeeJong Chul YePublished in: IEEE Trans. Computational Imaging (2016)
Keyphrases
- low rank
- compressed sensing
- image reconstruction
- singular value decomposition
- low rank matrix
- convex optimization
- linear combination
- rank minimization
- missing data
- matrix factorization
- matrix completion
- random projections
- sparse representation
- matrix decomposition
- high dimensional data
- high order
- trace norm
- semi supervised
- natural images
- singular values
- signal processing
- signal recovery
- data sets
- low rank and sparse
- dimension reduction
- high resolution
- dimensionality reduction
- collaborative filtering
- low dimensional
- higher order
- recommender systems
- orthogonal matching pursuit
- pattern recognition
- image segmentation