New Low Rank Optimization Model and Convex Approach for Robust Spectral Compressed Sensing.
Zai YangXunmeng WuPublished in: CoRR (2021)
Keyphrases
- low rank
- optimization model
- compressed sensing
- convex optimization
- rank minimization
- low rank matrix
- image reconstruction
- matrix completion
- matrix factorization
- linear combination
- singular value decomposition
- missing data
- norm minimization
- optimization process
- random projections
- sparse representation
- high dimensional data
- semi supervised
- convex relaxation
- natural images
- signal processing
- recommender systems
- signal recovery
- data sets
- globally optimal
- dimensionality reduction
- higher order
- feature space
- object recognition