Robust recovery of low-rank matrices with non-orthogonal sparse decomposition from incomplete measurements.
Massimo FornasierJohannes MalyValeriya NaumovaPublished in: Appl. Math. Comput. (2021)
Keyphrases
- low rank matrices
- low rank matrix
- low rank
- singular value decomposition
- matrix completion
- norm minimization
- rank minimization
- nuclear norm
- missing data
- sparse representation
- high dimensional
- data analysis
- high order
- sparse coding
- matrix factorization
- data sets
- approximation methods
- decomposition algorithm
- sparse matrix