A two-phase rank-based algorithm for low-rank matrix completion.
Tacildo de Souza AraújoDouglas Soares GonçalvesCristiano TorezzanPublished in: Optim. Lett. (2023)
Keyphrases
- matrix completion
- low rank
- low rank matrices
- singular values
- rank minimization
- missing data
- learning algorithm
- convex optimization
- semi supervised
- data sets
- incomplete data
- singular value decomposition
- pairwise
- globally optimal
- convex relaxation
- data analysis
- theoretical guarantees
- image denoising
- low rank matrix
- trace norm
- expectation maximization
- knn