Almost everywhere injectivity conditions for the matrix recovery problem-Reference-Cited by-同舟云学术

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Almost everywhere injectivity conditions for the matrix recovery problem

Published:2021-01 Issue: Volume:50 Page:386-400
ISSN:1063-5203
Container-title:Applied and Computational Harmonic Analysis
language:en
Short-container-title:Applied and Computational Harmonic Analysis

Author:

Rong Yi,Wang Yang^ORCID,Xu Zhiqiang

Funder

NSFC

Hong Kong Research Grant Council

Beijing Natural Science Foundation

Publisher

Elsevier BV

Subject

Applied Mathematics

Reference23 articles.

1. On signal reconstruction without phase;Balan;Appl. Comput. Harmon. Anal.,2016

2. Real Algebraic Geometry, Vol. 36;Bochnak,2013

3. Matrix recovery via rank-one projections;Cai;Ann. Statist.,2015

4. An algebraic characterization of injectivity in phase retrieval;Conca;Appl. Comput. Harmon. Anal.,2015

5. Low-Rank Matrix Recovery With Structural Incoherence for Robust Face Recognition;Chih-Fan,2012

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1. Matrix recovery from permutations;Applied and Computational Harmonic Analysis;2024-11

2. Group-Invariant Max Filtering;Foundations of Computational Mathematics;2024-05-17

3. Low-Dimensional Invariant Embeddings for Universal Geometric Learning;Foundations of Computational Mathematics;2024-02-08

4. Almost everywhere generalized phase retrieval;Applied and Computational Harmonic Analysis;2021-01

5. Complete set of translation invariant measurements with Lipschitz bounds;Applied and Computational Harmonic Analysis;2020-09

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