Matrix completion with capped nuclear norm via majorized proximal minimization.
Shenfen KuangHongyang ChaoQia LiPublished in: Neurocomputing (2018)
Keyphrases
- matrix completion
- norm minimization
- nuclear norm
- low rank
- low rank matrices
- low rank matrix approximation
- minimization problems
- collaborative filtering
- convex optimization
- singular values
- low rank matrix
- rank aggregation
- convex relaxation
- incomplete data
- matrix factorization
- singular value decomposition
- stochastic gradient descent
- linear combination
- semi supervised
- protein interaction networks
- unsupervised feature selection
- high order
- missing data
- rank minimization
- feature selection
- missing values
- higher order
- data analysis