Decomposition Approach for Low-Rank Matrix Completion and Its Applications.
Rick MaNafise BarzigarAminmohammad RoozgardSamuel ChengPublished in: IEEE Trans. Signal Process. (2014)
Keyphrases
- matrix completion
- low rank
- tensor decomposition
- convex optimization
- missing data
- singular value decomposition
- linear combination
- matrix factorization
- low rank matrix approximation
- low rank matrix
- rank minimization
- semi supervised
- singular values
- high order
- kernel matrix
- nuclear norm
- low rank matrices
- norm minimization
- high dimensional data
- trace norm
- minimization problems
- collaborative filtering
- pairwise
- low rank approximation
- image classification
- higher order
- least squares
- feature selection