Truncated Robust Principle Component Analysis With A General Optimization Framework

Recently, several robust principle component analysis (RPCA) models have been proposed to improve the robustness of principle component analysis (PCA). But an important problem that the robustness to outliers affects the discrimination of correct samples has not been solved yet. To solve this proble...

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Publié dans:IEEE transactions on pattern analysis and machine intelligence. - 1979. - 44(2022), 2 vom: 01. Feb., Seite 1081-1097
Auteur principal: Nie, Feiping (Auteur)
Autres auteurs: Wu, Danyang, Wang, Rong, Li, Xuelong
Format: Article en ligne
Langue:English
Publié: 2022
Accès à la collection:IEEE transactions on pattern analysis and machine intelligence
Sujets:Journal Article