Login / Signup
The effect of perturbation and noise folding on the recovery performance of low-rank matrix via the nuclear norm minimization.
Zahia Aidene
Jianwen Huang
Jianjun Wang
Published in:
Intell. Syst. Appl. (2022)
Keyphrases
</>
low rank matrix
low rank
missing data
nuclear norm minimization
nuclear norm
convex optimization
matrix factorization
low rank matrices
image processing
approximation methods
sparse matrix
reinforcement learning
linear combination
singular value decomposition
rank minimization