Dimensionality reduction by LPP‐L21

Locality preserving projection (LPP) is one of the most representative linear manifold learning methods and well exploits intrinsic structure of data. However, the performance of LPP remarkably degenerate in the presence of outliers. To alleviate this problem, the authors propose a robust LPP, namel...

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Bibliographic Details
Main Authors: Shujian Wang, Deyan Xie, Fang Chen, Quanxue Gao
Format: Article
Language:English
Published: Wiley 2018-08-01
Series:IET Computer Vision
Subjects:
Online Access:https://doi.org/10.1049/iet-cvi.2017.0302