-regularization-based line search for sparse signal recovery.
Zhimin YangYi ChaiTao ChenJianfeng QuPublished in: Soft Comput. (2017)
Keyphrases
- signal recovery
- line search
- risk minimization
- step size
- quadratic programming
- objective function
- convergence rate
- conjugate gradient
- loss function
- global convergence
- compressed sensing
- orthogonal matching pursuit
- primal dual
- linear program
- reproducing kernel hilbert space
- optimization procedure
- sparse representation
- generalization error
- regression model
- linear programming