首页    期刊浏览 2024年12月02日 星期一
登录注册

文章基本信息

  • 标题:Low-Rank Binary Matrix Approximation in Column-Sum Norm
  • 本地全文:下载
  • 作者:Fedor V. Fomin ; Petr A. Golovach ; Fahad Panolan
  • 期刊名称:LIPIcs : Leibniz International Proceedings in Informatics
  • 电子版ISSN:1868-8969
  • 出版年度:2020
  • 卷号:176
  • 页码:32:1-32:18
  • DOI:10.4230/LIPIcs.APPROX/RANDOM.2020.32
  • 出版社:Schloss Dagstuhl -- Leibniz-Zentrum fuer Informatik
  • 摘要:We consider ð"â,-Rank-r Approximation over {GF}(2), where for a binary mÃ- n matrix 𝐀 and a positive integer constant r, one seeks a binary matrix 𝐁 of rank at most r, minimizing the column-sum norm â€- 𝐀 -𝐁â€-â,. We show that for every ε â^^ (0, 1), there is a {randomized} (1+ε)-approximation algorithm for ð"â,-Rank-r Approximation over {GF}(2) of running time m^{O(1)}n^{O(2^{4r}â<. ε^{-4})}. This is the first polynomial time approximation scheme (PTAS) for this problem.
  • 关键词:Binary Matrix Factorization; PTAS; Column-sum norm
国家哲学社会科学文献中心版权所有