Strongly convex programming for exact matrix completion and robust principal component analysis
نویسندگان
چکیده
منابع مشابه
Strongly Convex Programming for Exact Matrix Completion and Robust Principal Component Analysis
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. These problems gained great attention from various areas in applied sciences recently, especially after the publication of the pioneering works of Candès et al.. One fundamental result in MC and RPCA is that nuclear norm based convex optimizations le...
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ژورنال
عنوان ژورنال: Inverse Problems and Imaging
سال: 2012
ISSN: 1930-8337
DOI: 10.3934/ipi.2012.6.357