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math.OC2021★ 5 cited
Unique sparse decomposition of low rank matrices
Dian Jin, Xin Bing, Yuqian Zhang
The problem of finding the unique low dimensional decomposition of a given matrix has been a fundamental and recurrent problem in many areas. In this paper, we study the problem of…
math.OC2014★ 67 cited
Scalable Robust Matrix Recovery: Frank-Wolfe Meets Proximal Methods
Cun Mu, Yuqian Zhang, John Wright +1
Recovering matrices from compressive and grossly corrupted observations is a fundamental problem in robust statistics, with rich applications in computer vision and machine learnin…