Research of SWNMF with New Iteration Rules for Facial Feature Extraction and Recognition

Research of SWNMF with New Iteration Rules for Facial Feature Extraction and Recognition

Weighted nonnegative matrix factorization (WNMF) is a technology for feature extraction, which can extract the feature of face dataset, and then the feature can be recognized by the classifier. To improve the performance of WNMF for feature extraction, a new iteration rule is proposed in this paper....

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Bibliographic Details
Main Author: Jing Zhou
Format: Article
Language:English
Published: MDPI AG 2019-03-01
Series:Symmetry
Subjects:
face recognition
new additive iteration rule
threshold sparse
base matrix
coefficient matrix
weighted nonnegative matrix factorization
Online Access:http://www.mdpi.com/2073-8994/11/3/354

Internet

http://www.mdpi.com/2073-8994/11/3/354

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