Unlabeled Sensing Using Rank-One Moment Matrix Completion

被引:0
|
作者
Liang, Hao [1 ]
Lu, Jingyu [1 ]
Tsakiris, Manolis C. [1 ]
Zhi, Lihong [1 ]
机构
[1] Univ Chinese Acad Sci, AMSS, Key Lab Math Mechanizat, Beijing 100190, Peoples R China
基金
国家重点研发计划; 中国国家自然科学基金;
关键词
unlabeled sensing; birational morphism; matrix completion; determinantal variety; semidefinite relaxation; SOLVING POLYNOMIAL SYSTEMS; COMPUTING GROBNER BASES; LINEAR-REGRESSION; ALGORITHM; REAL; RELAXATIONS;
D O I
10.1145/3666000.3669674
中图分类号
O29 [应用数学];
学科分类号
070104 ;
摘要
We study the unlabeled sensing problem that aims to solve a linear system of equations Ax = pi(y) for an unknown permutation pi For a generic matrix A and a generic vector y, we construct a system of polynomial equations whose unique solution satisfies A xi* = pi (Y). In particular, xi* can be recovered by solving the rank-one moment matrix completion problem. We propose symbolic and numeric algorithms to compute the unique solution. Some numerical experiments are conducted to show the efficiency and robustness of the proposed algorithms.
引用
收藏
页码:46 / 55
页数:10
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