Robust Low-Rank Matrix Completion by Riemannian Optimization.
Léopold CambierPierre-Antoine AbsilPublished in: SIAM J. Sci. Comput. (2016)
Keyphrases
- matrix completion
- low rank
- norm minimization
- rank minimization
- low rank matrix
- nuclear norm
- missing data
- matrix factorization
- convex optimization
- linear combination
- singular value decomposition
- low rank matrices
- trace norm
- high order
- singular values
- kernel matrix
- high dimensional data
- semi supervised
- low rank approximation
- missing values
- convex relaxation
- higher order
- collaborative filtering
- incomplete data
- affinity matrix
- stochastic gradient descent
- rank aggregation
- machine learning
- image segmentation