<mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML" display="inline" id="d1e4378" altimg="si182.svg"><mml:mi>β</mml:mi></mml:math>-divergence NMF with biorthogonal regularization for data representation-Reference-Cited by-同舟云学术

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β-divergence NMF with biorthogonal regularization for data representation

Published:2023-05 Issue: Volume:121 Page:106014
ISSN:0952-1976
Container-title:Engineering Applications of Artificial Intelligence
language:en
Short-container-title:Engineering Applications of Artificial Intelligence

Author:

Yuan Ruixue,Leng Chengcai,Li Bing^ORCID,Basu Anup

Funder

Northwest University

Natural Science Foundation of Shaanxi Province

Natural Sciences and Engineering Research Council of Canada

National Natural Science Foundation of China

Publisher

Elsevier BV

Subject

Electrical and Electronic Engineering,Artificial Intelligence,Control and Systems Engineering

Reference58 articles.

1. The arithmetic optimization algorithm;Abualigah;Comput. Methods Appl. Mech. Engrg.,2021

2. Reptile search algorithm (RSA): A nature-inspired meta-heuristic optimizer;Abualigah;Expert Syst. Appl.,2022

3. Aquila optimizer: A novel meta-heuristic optimization algorithm;Abualigah;Comput. Ind. Eng.,2021

4. Dwarf mongoose optimization algorithm;Agushaka;Comput. Methods Appl. Mech. Engrg.,2022

5. Robust and efficient estimation by minimising a density power divergence;Basu;Biometrika,1998

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