Robust 2DPCA With <inline-formula> <tex-math notation="LaTeX">${F}$ </tex-math></inline-formula>-Norm Minimization

While feature extraction based on two-dimensional principal component analysis (2DPCA) is widely used in image recognition, such a method usually fails to handle the noise and outliers, because adopted F-norm square actually exaggerates the effect of outliers. To tackle the aforementioned problem, w...

Полное описание

Библиографические подробности
Главные авторы: Yong Wang, Qin Li
Формат: Статья
Язык:English
Опубликовано: IEEE 2019-01-01
Серии:IEEE Access
Предметы:
Online-ссылка:https://ieeexplore.ieee.org/document/8721629/