A tightest convex envelope heuristic to row sparse and rank one matrices

A. Aghasi, S. Bahmani, J. Romberg
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引用次数: 4

Abstract

The main result of this paper is providing a tight convex envelope to row sparse and rank one matrices which is of major interest in signal recovery applications. The resulting convexification turns out to be the ℓ1 norm of the matrix. This result highlights the fact that a joint convexification approach may not significantly improve the signal recovery process.
一种最紧凸包络启发式方法,用于行稀疏和秩一矩阵
本文的主要成果是为行稀疏矩阵和秩一矩阵提供了一个紧凸包络,这在信号恢复应用中具有重要意义。得到的凸化结果是矩阵的v1范数。这一结果强调了一个事实,即联合凸化方法可能不会显著改善信号恢复过程。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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