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math.OC2020
The unified theoretical frame of logarithmic alternative model for sparse information recovery and its application in multiple source location problem by TDOA
Wang Changlong, Zhou Feng, Wang Weichao +1
In sparse information recovery, the core problem is to solve the -minimization which is NP-hard. On one hand, in order to recover the original sparse solution, there are a lot…
math.OC2018
A non-convex approach to low-rank and sparse matrix decomposition
Angang Cui, Meng Wen, Haiyang Li +1
In this paper, we develop a nonconvex approach to the problem of low-rank and sparse matrix decomposition. In our nonconvex method, we replace the rank function and the -nor…