Dual approximated nuclear norm based matrix regression via adaptive line search scheme.
Lei LuoQinghua TuJian YangYigong ZhangPublished in: ICPR (2016)
Keyphrases
- line search
- low rank
- primal dual
- singular values
- low rank matrix
- linear combination
- matrix completion
- convex optimization
- singular value decomposition
- convergence rate
- regression model
- quadratic programming
- rank minimization
- conjugate gradient
- global convergence
- risk minimization
- step size
- matrix factorization
- model selection
- neural network
- semidefinite programming
- linear programming
- support vector
- training data
- machine learning
- data sets