Open AccessLow-Rank Matrix Recovery via Efficient Schatten p-Norm Minimization
Author(s) -
Feiping Nie,
Heng Huang,
Chris Ding
Publication year - 2021
Publication title -
proceedings of the aaai conference on artificial intelligence
Language(s) - Uncategorized
Resource type - Journals
eISSN - 2374-3468
pISSN - 2159-5399
DOI - 10.1609/aaai.v26i1.8210
Subject(s) - matrix completion , matrix norm , low rank approximation , norm (philosophy) , singular value , computer science , mathematical optimization , rank (graph theory) , matrix (chemical analysis) , algorithm , trace (psycholinguistics) , mathematics , theoretical computer science , eigenvalues and eigenvectors , mathematical analysis , linguistics , physics , materials science , philosophy , hankel matrix , quantum mechanics , combinatorics , political science , law , composite material , gaussian
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