The following pages link to (Q5405230):
Displaying 18 items.
- Data Driven Tight Frame for Compressed Sensing MRI Reconstruction via Off-the-Grid Regularization (Q5143293) (← links)
- Krylov Methods for Low-Rank Regularization (Q5146618) (← links)
- Minimization of the difference of Nuclear and Frobenius norms for noisy low rank matrix recovery (Q5221434) (← links)
- Matrix completion via minimizing an approximate rank (Q5236743) (← links)
- Multistage Convex Relaxation Approach to Rank Regularized Minimization Problems Based on Equivalent Mathematical Program with a Generalized Complementarity Constraint (Q5348478) (← links)
- Spectrum estimation with missing values: A regularized nuclear norm minimization approach (Q5506749) (← links)
- Weighted lp − l1 minimization methods for block sparse recovery and rank minimization (Q5856318) (← links)
- Recovery of Surfaces and Functions in High Dimensions: Sampling Theory and Links to Neural Networks (Q5860295) (← links)
- Orientation estimation of cryo-EM images using projected gradient descent method (Q5885761) (← links)
- Matrix completion with column outliers and sparse noise (Q6065866) (← links)
- Normal Cones Intersection Rule and Optimality Analysis for Low-Rank Matrix Optimization with Affine Manifolds (Q6116233) (← links)
- An extrapolated proximal iteratively reweighted method for nonconvex composite optimization problems (Q6164017) (← links)
- PCA Sparsified (Q6176425) (← links)
- Customization of reciprocal mass matrices via log-det heuristic (Q6497679) (← links)
- Smooth singular value thresholding algorithm for low-rank matrix completion problem (Q6545075) (← links)
- A novel nonconvex relaxation approach to low-rank matrix completion of inexact observed data (Q6573016) (← links)
- Stochastic variance reduced gradient for affine rank minimization problem (Q6587638) (← links)
- Iteratively reweighted least squares for block sparse signal recovery with unconstrained \(l_{2,p}\) minimization (Q6649926) (← links)
