A novel general kernel-based non-negative matrix factorisation approach for face recognition

A novel general kernel-based non-negative matrix factorisation approach for face recognition

Kernel-based non-negative matrix factorisation (KNMF) is a promising nonlinear approach for image data representation using non-negative features. However, most of the KNMF algorithms are developed via a specific kernel function and thus fail to adopt other kinds of kernels. Also, they have to learn...

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Bibliographic Details
Main Authors: Wen-Sheng Chen, Xiya Ge, Binbin Pan
Format: Article
Language:English
Published: Taylor & Francis Group 2022-12-01
Series:Connection Science
Subjects:
non-negative matrix factorisation
kernel function
face recognition
Online Access:http://dx.doi.org/10.1080/09540091.2021.1988904
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http://dx.doi.org/10.1080/09540091.2021.1988904

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