Occluded Face Recognition Using Sparse Complex Matrix Factorization with Ridge Regularization

Putri, Diyah Utami Kusumaning and Musdholifah, Aina and Makhrus, Faizal and Duong, Viet Hang and Le, Phuong Thi and Chen, Bo-Wei and Wang, Jia-Ching (2021) Occluded Face Recognition Using Sparse Complex Matrix Factorization with Ridge Regularization. In: International Symposium on Intelligent Signal Processing and Communication Systems (ISPACS).

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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. © 2021 IEEE.

Item Type: Conference or Workshop Item (Paper)
Additional Information: Cited by: 1
Uncontrolled Keywords: Face recognition; Matrix algebra; Complex matrix factorization; Complex matrixes; Condition; Dimensionality reduction; Factorization methods; Matrix factorizations; Nonnegative matrix factorization; Occluded face recognition; Regularisation; Matrix factorization
Subjects: T Technology > TK Electrical engineering. Electronics Nuclear engineering
Divisions: Faculty of Engineering > Electrical and Information Technology Department
Depositing User: Sri JUNANDI
Date Deposited: 25 Oct 2024 03:56
Last Modified: 25 Oct 2024 03:56
URI: https://ir.lib.ugm.ac.id/id/eprint/8639

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