A Multidimensional Principal Component Analysis via the C-Product Golub–Kahan–SVD for Classification and Face Recognition

Face recognition and identification are very important applications in machine learning. Due to the increasing amount of available data, traditional approaches based on matricization and matrix PCA methods can be difficult to implement. Moreover, the tensorial approaches are a natural choice, due to...

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Detalhes bibliográficos

Principais autores:	Mustapha Hached, Khalide Jbilou, Christos Koukouvinos, Marilena Mitrouli
Formato:	Artigo
Idioma:	Inglês
Publicado em:	MDPI AG 2021-05-01
coleção:	Mathematics
Assuntos:	cosine product Golub–Kahan algorithm Krylov subspaces PCA SVD tensors
Acesso em linha:	https://www.mdpi.com/2227-7390/9/11/1249
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