The following pages link to Martin S. Andersen (Q344270):
Displaying 19 items.
- Tomographic image reconstruction using training images (Q344271) (← links)
- Inexact proximal Newton methods for self-concordant functions (Q522088) (← links)
- Implementation of nonsymmetric interior-point methods for linear optimization over sparse matrix cones (Q621748) (← links)
- Generalized row-action methods for tomographic imaging (Q742852) (← links)
- On the robustness and scalability of semidefinite relaxation for optimal power flow problems (Q779755) (← links)
- On semiseparable kernels and efficient implementation for regularized system identification and function estimation (Q2665635) (← links)
- System Identification Via Sparse Multiple Kernel-Based Regularization Using Sequential Convex Optimization Techniques (Q2982945) (← links)
- Total Variation Based Parameter-Free Model for Impulse Noise Removal (Q3132622) (← links)
- Decomposition in Conic Optimization with Partially Separable Structure (Q3192107) (← links)
- Joint image reconstruction method with correlative multi-channel prior for x-ray spectral computed tomography (Q4570991) (← links)
- A statistical reconstruction model for absorption CT with source uncertainty <sup>*</sup> (Q5002577) (← links)
- Smoothing Splines and Rank Structured Matrices: Revisiting the Spline Kernel (Q5112235) (← links)
- Spectral Computed Tomography with Linearization and Preconditioning (Q5241258) (← links)
- Logarithmic barriers for sparse matrix cones (Q5299902) (← links)
- Sparse Bayesian inference with regularized Gaussian distributions <sup>*</sup> (Q6058329) (← links)
- Bayesian Inference with Projected Densities (Q6062238) (← links)
- Preconditioner design via Bregman divergences (Q6561642) (← links)
- HDTomo TXRM micro-CT datasets (Q6708920) (← links)
- Data accompanying article "A Bayesian Approach to CT Reconstruction with Uncertain Geometry" (Q6708950) (← links)
