Algorithms for Nonnegative Matrix Factorization with the Kullback-Leibler Divergence

5 October 2020

Papers citing "Algorithms for Nonnegative Matrix Factorization with the Kullback-Leibler Divergence"

8 / 8 papers shown

Title
Efficient Algorithms for Regularized Nonnegative Scale-invariant Low-rank Approximation Models Jeremy E. Cohen Valentin Leplat 63 1 0 27 Mar 2024
Block Majorization Minimization with Extrapolation and Application to $β$ -NMF L. Hien Valentin Leplat Nicolas Gillis 24 1 0 12 Jan 2024
A fast Multiplicative Updates algorithm for Non-negative Matrix Factorization M. Pham Jérémy E. Cohen T. Chonavel 12 2 0 31 Mar 2023
An Unconstrained Symmetric Nonnegative Latent Factor Analysis for Large-scale Undirected Weighted Networks Zhe Xie Weiling Li Yurong Zhong 17 0 0 09 Aug 2022
Semi-supervised Nonnegative Matrix Factorization for Document Classification Jamie Haddock Lara Kassab Sixian Li Alona Kryshchenko Rachel Grotheer ... Thomas Merkh R. W. M. A. Madushani Miju Ahn Deanna Needell Kathryn Leonard 17 2 0 28 Feb 2022
Leveraging Joint-Diagonalization in Transform-Learning NMF Sixin Zhang Emmanuel Soubies Cédric Févotte 8 1 0 10 Dec 2021
Global Convergence of Model Function Based Bregman Proximal Minimization Algorithms Mahesh Chandra Mukkamala M. Fadili Peter Ochs 22 8 0 24 Dec 2020
Topic Space Trajectories: A case study on machine learning literature Bastian Schafermeier Gerd Stumme Tom Hanika 27 6 0 23 Oct 2020