An Alternating Rank-k Nonnegative Least Squares Framework (ARkNLS) for Nonnegative Matrix Factorization
Author:
Funder
National University of Singapore
Publisher
Society for Industrial & Applied Mathematics (SIAM)
Subject
Analysis
Link
https://epubs.siam.org/doi/pdf/10.1137/20M1352405
Reference50 articles.
1. Accelerating Nonnegative Matrix Factorization Algorithms Using Extrapolation
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