Realization of a Hybrid Locally Connected Extreme Learning Machine with DeepID for Face Verification
Backpropagation algorithms; Computation theory; Deep learning; Face recognition; Iterative methods; Knowledge acquisition; Machine learning; Neural networks; Biological learning; Convolutional neural network; DeepID; Extreme learning machine; Face Verification; Fast implementation; Feature mapping;...
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Institute of Electrical and Electronics Engineers Inc.
2023
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my.uniten.dspace-250062023-05-29T15:30:14Z Realization of a Hybrid Locally Connected Extreme Learning Machine with DeepID for Face Verification Wong S.Y. Yap K.S. Zhai Q. Li X. 55812054100 24448864400 57205080765 23100514300 Backpropagation algorithms; Computation theory; Deep learning; Face recognition; Iterative methods; Knowledge acquisition; Machine learning; Neural networks; Biological learning; Convolutional neural network; DeepID; Extreme learning machine; Face Verification; Fast implementation; Feature mapping; Labeled faces in the wilds (LFW); Learning algorithms Most existing state-of-the-art deep learning algorithms discover sophisticated representations in huge datasets using convolutional neural networks (CNNs) that mainly adopt backpropagation (BP) algorithm as the backbone for training the face recognition problems. However, since decades ago, BP has been debated for causing trivial issues such as iterative gradient-descent operation, slow convergence rate, local minima, intensive human intervention, exhaustive computation, time-consuming, and so on. On the other hand, a competitive machine learning algorithm called extreme learning machine (ELM) emerged with extreme fast implementation and simple in theory has overcome the challenges faced by BP. The ELM advocates the convergence of machine learning and biological learning for pervasive learning and intelligence and has been extensively researched in widespread applications. Nonetheless, till date, none of the work of ELM has proved its competency in tackling face verification problem. Hence, in this paper, we are going to probe for the first time the feasibility of ELM-based network in handling the face verification task. We devise and propose a novel and distinguished hybrid local receptive field-based extreme learning machine with DeepID (hereinafter denoted as H-ELM-LRF-DeepID), to discriminate face pairs. The experimental results on the YouTube face database, labeled faces in the wild (LFW), and CelebFaces datasets have shed light upon the feasibility and usefulness of the H-ELM-LRF-DeepID in the face verification task. � 2013 IEEE. Final 2023-05-29T07:30:14Z 2023-05-29T07:30:14Z 2019 Article 10.1109/ACCESS.2019.2919806 2-s2.0-85067406650 https://www.scopus.com/inward/record.uri?eid=2-s2.0-85067406650&doi=10.1109%2fACCESS.2019.2919806&partnerID=40&md5=99a241ef6c0c4a86a3bf09657a818ba0 https://irepository.uniten.edu.my/handle/123456789/25006 7 8725548 70447 70460 All Open Access, Gold Institute of Electrical and Electronics Engineers Inc. Scopus |
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Backpropagation algorithms; Computation theory; Deep learning; Face recognition; Iterative methods; Knowledge acquisition; Machine learning; Neural networks; Biological learning; Convolutional neural network; DeepID; Extreme learning machine; Face Verification; Fast implementation; Feature mapping; Labeled faces in the wilds (LFW); Learning algorithms |
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55812054100 Wong S.Y. Yap K.S. Zhai Q. Li X. |
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Wong S.Y. Yap K.S. Zhai Q. Li X. |
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Wong S.Y. Yap K.S. Zhai Q. Li X. Realization of a Hybrid Locally Connected Extreme Learning Machine with DeepID for Face Verification |
| author_sort |
Wong S.Y. |
| title |
Realization of a Hybrid Locally Connected Extreme Learning Machine with DeepID for Face Verification |
| title_short |
Realization of a Hybrid Locally Connected Extreme Learning Machine with DeepID for Face Verification |
| title_full |
Realization of a Hybrid Locally Connected Extreme Learning Machine with DeepID for Face Verification |
| title_fullStr |
Realization of a Hybrid Locally Connected Extreme Learning Machine with DeepID for Face Verification |
| title_full_unstemmed |
Realization of a Hybrid Locally Connected Extreme Learning Machine with DeepID for Face Verification |
| title_sort |
realization of a hybrid locally connected extreme learning machine with deepid for face verification |
| publisher |
Institute of Electrical and Electronics Engineers Inc. |
| publishDate |
2023 |
| _version_ |
1806428501403762688 |
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13.214268 |