@inproceedings{38426ab2f54447f1b1cc19285c42d51e,
title = "Occluded Face Recognition Using Sparse Complex Matrix Factorization with Ridge Regularization",
abstract = "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.",
keywords = "Complex matrix factorization, Nonnegative matrix factorization, Occluded face recognition",
author = "Putri, {Diyah Utami Kusumaning} and Aina Musdholifah and Faizal Makhrus and Duong, {Viet Hang} and Le, {Phuong Thi} and Chen, {Bo Wei} and Wang, {Jia Ching}",
note = "Publisher Copyright: {\textcopyright} 2021 IEEE.; 2021 International Symposium on Intelligent Signal Processing and Communication Systems, ISPACS 2021 ; Conference date: 16-11-2021 Through 19-11-2021",
year = "2021",
doi = "10.1109/ISPACS51563.2021.9651107",
language = "???core.languages.en_GB???",
series = "ISPACS 2021 - International Symposium on Intelligent Signal Processing and Communication Systems: 5G Dream to Reality, Proceeding",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
booktitle = "ISPACS 2021 - International Symposium on Intelligent Signal Processing and Communication Systems",
}