Restricted isometry property of principal component pursuit with reduced linear measurements

DOI10.1155/2013/959403zbMath1268.90050OpenAlexW2009348723WikidataQ59007157 ScholiaQ59007157MaRDI QIDQ2375728

Qun Wan, Haiwen Xu, Qingshan You

Publication date: 14 June 2013

Published in: Journal of Applied Mathematics (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1155/2013/959403

zbMATH Keywords

convex optimizationcompressive principal component pursuitprincipal component pursuit with reduced linear measurements

Mathematics Subject Classification ID

Convex programming (90C25) Approximation methods and heuristics in mathematical programming (90C59)

Cites Work

• Strongly convex programming for exact matrix completion and robust principal component analysis
• Image recovery via total variation minimization and related problems
• Adaptive estimation of a quadratic functional by model selection.
• A short note on strongly convex programming for exact matrix completion and robust principal component analysis
• Matrix concentration inequalities via the method of exchangeable pairs
• Exact matrix completion via convex optimization
• Robust principal component analysis?
• Guaranteed Minimum-Rank Solutions of Linear Matrix Equations via Nuclear Norm Minimization
• Compressive principal component pursuit

This page was built for publication: Restricted isometry property of principal component pursuit with reduced linear measurements