Facial Expression Recognition Using Sparse Complex Matrix Factorization with Ridge Term Regularization

Diyah Utami Kusumaning Putri, Aina Musdholifah, Faizal Makhrus, Viet Hang Duong, Le Thi Phuong, Bo Wei Chen, Jia Ching Wang

研究成果: 書貢獻/報告類型會議論文篇章同行評審

1 引文 斯高帕斯(Scopus)

摘要

This work proposes a novel method of matrix factorization on the complex domain to obtain both extracted features and coefficient matrix with high recognition results in facial expression recognition. The real data matrix is transformed into a complex number based on the Euler representation of complex numbers. Sparse regularization in dimensionality reduction using ridge term (L2-norm) is applied into this study. Basic complex matrix factorization (CMF) is modified into sparse complex matrix factorization using ridge term (SCMF-L2) which adding sparse L2-norm constraint in the coefficient. The gradient descent method is used to solve optimization problems. Experiments on facial expression recognition scenario reveal that the proposed methods provide better recognition results that prevalent NMF and CMF methods.

原文???core.languages.en_GB???
主出版物標題2021 IEEE 10th Global Conference on Consumer Electronics, GCCE 2021
發行者Institute of Electrical and Electronics Engineers Inc.
頁面45-46
頁數2
ISBN(電子)9781665436762
DOIs
出版狀態已出版 - 2021
事件10th IEEE Global Conference on Consumer Electronics, GCCE 2021 - Kyoto, Japan
持續時間: 12 10月 202115 10月 2021

出版系列

名字2021 IEEE 10th Global Conference on Consumer Electronics, GCCE 2021

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???event.eventtypes.event.conference???10th IEEE Global Conference on Consumer Electronics, GCCE 2021
國家/地區Japan
城市Kyoto
期間12/10/2115/10/21

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