New Variants of Global-Local Partial Least Squares Discriminant Analysis for Appearance-Based Face Recognition

New Variants of Global-Local Partial Least Squares Discriminant Analysis for Appearance-Based Face Recognition

We propose new appearance-based face recognition methods based on global-local structure-preserving partial least squares discriminant analysis. Two variants of the method are described in this article: the neighbourhood-preserving partial least squares discriminant analysis (NPPLS-DA) and the uncor...

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Bibliographic Details
Main Authors: Muhammad Aminu, Noor Atinah Ahmad
Format: Article
Language:English
Published: IEEE 2020-01-01
Series:IEEE Access
Subjects:
Dimensionality reduction
face recognition
manifold learning
partial least squares
principal component analysis
machine learning
Online Access:https://ieeexplore.ieee.org/document/9187946/

Internet

https://ieeexplore.ieee.org/document/9187946/

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