no code implementations • 13 Jan 2020 • Andersen Man Shun Ang, Jeremy E. Cohen, Nicolas Gillis, Le Thi Khanh Hien
This paper is concerned with improving the empirical convergence speed of block-coordinate descent algorithms for approximate nonnegative tensor factorization (NTF).
no code implementations • 17 May 2018 • Andersen Man Shun Ang, Nicolas Gillis
In this paper, we propose a general framework to accelerate significantly the algorithms for nonnegative matrix factorization (NMF).
