Low-Rank Matrix Completion Theory via Plücker Coordinates-Reference-Cited by-同舟云学术

Low-Rank Matrix Completion Theory via Plücker Coordinates

Author:

Tsakiris Manolis C.¹^ORCID

Affiliation:

1. Key Laboratory of Mathematics Mechanization, Academy of Mathematics and Systems Science, Chinese Academy of Sciences, Beijing, China

Funder

CAS Project for Young Scientists in Basic Research

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Applied Mathematics,Artificial Intelligence,Computational Theory and Mathematics,Computer Vision and Pattern Recognition,Software

Link

Reference57 articles.

1. Matrix completion has no spurious local minimum;ge;Adv Neural Inf Process Syst,2016

2. Union of low-rank tensor spaces: Clustering and completion;ashraphijuo;J Mach Learn Res,2020

4. Fundamental conditions for low-cp-rank tensor completion;ashraphijuo;J Mach Learn Res,2017

5. Implicit regularization in deep matrix factorization;arora;Adv Neural Inf Process Syst,2019

Cited by 7 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

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

5. Matrix Recovery from Permutations: An Algebraic Geometry Approach;2023 IEEE International Symposium on Information Theory (ISIT);2023-06-25