Low-Rank Matrix Completion by Riemannian Optimization.
Bart VandereyckenPublished in: SIAM J. Optim. (2013)
Keyphrases
- matrix completion
- low rank
- norm minimization
- nuclear norm
- convex optimization
- missing data
- matrix factorization
- linear combination
- convex relaxation
- rank minimization
- singular value decomposition
- low rank matrix
- high order
- trace norm
- high dimensional data
- singular values
- low rank matrices
- kernel matrix
- semi supervised
- optimization methods
- minimization problems
- collaborative filtering
- small number
- support vector
- nonnegative matrix factorization
- incomplete data
- pairwise
- learning algorithm