Gengsheng L Zeng
Gengsheng L Zeng
In compressed sensing, it is believed that the L 0 norm minimization is the best way to enforce a sparse solution. However, the L 0 norm is difficult to implement in a gradient-based iterative image reconstruction algorithm. The total...
An Expectation-Maximization Algorithm for Combining a Sample of Partially Overlapping Covariance Matrices [0.03%]
组合部分重叠协方差矩阵样本的期望最大化算法
Deniz Akdemir,Mohamed Somo,Julio Isidro-Sanchéz
Deniz Akdemir
The generation of unprecedented amounts of data brings new challenges in data management, but also an opportunity to accelerate the identification of processes of multiple science disciplines. One of these challenges is the harmonization of...