Occluded Face Recognition Using Sparse Complex Matrix Factorization with Ridge Regularization

Diyah Utami Kusumaning Putri, Aina Musdholifah, Faizal Makhrus, Viet Hang Duong, Phuong Thi Le, 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

摘要

Matrix factorization is a method for dimensionality reduction which plays an important role in pattern recognition and data analysis. This work exploits the usefulness of our proposed complex matrix factorization (CMF) with ridge regularization (SCMF-L2) in occluded face recognition. Experiments on occluded face recognition reveal that the SCMF-L2 method provides the best recognition result among all the nonnegative matrix factorization (NMF) and CMF methods. The proposed method also reaches the stopping condition and converge much faster than the other NMF and CMF methods.

原文???core.languages.en_GB???
主出版物標題ISPACS 2021 - International Symposium on Intelligent Signal Processing and Communication Systems
主出版物子標題5G Dream to Reality, Proceeding
發行者Institute of Electrical and Electronics Engineers Inc.
ISBN(電子)9781665419512
DOIs
出版狀態已出版 - 2021
事件2021 International Symposium on Intelligent Signal Processing and Communication Systems, ISPACS 2021 - Hualien, Taiwan
持續時間: 16 11月 202119 11月 2021

出版系列

名字ISPACS 2021 - International Symposium on Intelligent Signal Processing and Communication Systems: 5G Dream to Reality, Proceeding

???event.eventtypes.event.conference???

???event.eventtypes.event.conference???2021 International Symposium on Intelligent Signal Processing and Communication Systems, ISPACS 2021
國家/地區Taiwan
城市Hualien
期間16/11/2119/11/21

指紋

深入研究「Occluded Face Recognition Using Sparse Complex Matrix Factorization with Ridge Regularization」主題。共同形成了獨特的指紋。

引用此