Maximum Volume Constrained Graph Nonnegative Matrix Factorization for Facial Expression Recognition

2017 ◽  
Vol E100.A (12) ◽  
pp. 3081-3085
Author(s):  
Viet-Hang DUONG ◽  
Manh-Quan BUI ◽  
Jian-Jiun DING ◽  
Bach-Tung PHAM ◽  
Pham The BAO ◽  
...  
Keyword(s):  
Facial Expression ◽  
Matrix Factorization ◽  
Facial Expression Recognition ◽  
Nonnegative Matrix Factorization ◽  
Nonnegative Matrix ◽  
Expression Recognition ◽  
Maximum Volume

scholarly journals Projective complex matrix factorization for facial expression recognition

2018 ◽  
Vol 2018 (1) ◽  
Author(s):  
Viet-Hang Duong ◽  
Yuan-Shan Lee ◽  
Jian-Jiun Ding ◽  
Bach-Tung Pham ◽  
Manh-Quan Bui ◽  
...  
Keyword(s):  
Facial Expression ◽  
Matrix Factorization ◽  
Facial Expression Recognition ◽  
Expression Recognition ◽  
Complex Matrix

A Novel Discriminant Non-Negative Matrix Factorization and its Application to Facial Expression Recognition

2010 ◽  
Vol 143-144 ◽  
pp. 129-133
Author(s):  
Yan Li Zhu ◽  
Jun Chen ◽  
Pei Xin Qu
Keyword(s):  
Facial Expression ◽  
Matrix Factorization ◽  
Facial Expression Recognition ◽  
Expression Recognition ◽  
Discrimination Capability ◽  
Factorization Algorithm ◽  
Factorization Algorithms ◽  
Low Dimensional ◽  
Low Dimensional Features ◽  
Non Negative Matrix Factorization

The paper proposes a novel discriminant non-negative matrix factorization algorithm and applies it to facial expression recognition. Unlike traditional non-negative matrix factorization algorithms, the algorithm adds discriminant constraints in low-dimensional weights. The experiments on facial expression recognition indicate that the algorithm enhances the discrimination capability of low-dimensional features and achieves better performance than other non-negative matrix factorization algorithms.

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