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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Autors principals:	Wen-Sheng Chen, Xiya Ge, Binbin Pan
Format:	Artigo
Idioma:	Inglês
Publicat:	Taylor & Francis Group 2022-12-01
Col·lecció:	Connection Science
Matèries:	non-negative matrix factorisation kernel function face recognition
Accés en línia:	http://dx.doi.org/10.1080/09540091.2021.1988904
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