In this paper, we present an efficient method for nonnegative matrix factorization (NMF) based on the alternating nonnegative least-squares framework.
An extrapolated quadratic regularization projected Barzilai–Borwein (EQRPBB) method utilizing the extrapolation technique and a modified nonmonotone line ...
In this paper, we present an efficient method for nonnegative matrix factorization (NMF) based on the alternating nonnegative least-squares framework.
1. The nonnegative matrix factorization is a technique that tries to find nonnegative factors with reduced ranks to approximate a given nonnegative data ...
In this paper, we present an efficient method for nonnegative matrix factorization based on the alternating nonnegative least squares framework.
Apr 25, 2024 · Wenbo Li, Xuenian Liu: An efficient nonmonotone projected Barzilai-Borwein method for nonnegative matrix factorization with extrapolation.
An efficient nonmonotone projected Barzilai–Borwein method for nonnegative matrix factorization with extrapolation · xml · Jicheng Li, Wenbo Li & Xuenian Liu.
An efficient nonmonotone projected Barzilai-Borwein method for nonnegative matrix factorization with extrapolation. Int. J. Comput. Math. 98(1): 11-27 (2021) ...
In this paper, we propose a fast NMF algorithm via Projected Newton Method (PNM). First, we propose PNM to efficiently solve a nonnegative least squares problem ...
2020: An efficient nonmonotone projected Barzilai–Borwein method for nonnegative matrix factorization with extrapolation International Journal of Computer ...