Algorithms for nonnegative matrix and tensor factorizations: a unified view based on block coordinate descent framework

标题
Algorithms for nonnegative matrix and tensor factorizations: a unified view based on block coordinate descent framework
作者
关键词
Nonnegative matrix factorization, Nonnegative tensor factorization, Low-rank approximation, Block coordinate descent
出版物
JOURNAL OF GLOBAL OPTIMIZATION
Volume 58, Issue 2, Pages 285-319
出版商
Springer Nature
发表日期
2013-03-02
DOI
10.1007/s10898-013-0035-4

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