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Dec, 2011
精确矩阵补全和鲁棒主成分分析的强凸编程
Strongly Convex Programming for Exact Matrix Completion and Robust Principal Component Analysis
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Hui Zhang, Jian-Feng Cai, Lizhi Cheng, Jubo Zhu
TL;DR
本研究提出使用强凸优化方法来确保矩阵完整性和鲁棒原则分量分析的低秩矩阵恢复，在实际算法中选择适当的参数帮助我们实现更精确的恢复。
Abstract
The common task in
matrix completion
(MC) and
robust principle component analysis
(RPCA) is to recover a low-rank matrix from a given data matrix. Following the pioneering works of Cand`es et al., these problems
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