Sparse Individual Low-Rank Component Representation for Face Recognition in the IoT-Based System

The performance of face recognition has been greatly improved by deep neural network algorithms when a dataset is large. However, when face data are insufficient as in practical Internet of Things (IoT) applications and captured by IoT devices under the same intrasubject variation, both data quantit...

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Vydáno v:	IEEE internet of things journal Ročník 8; číslo 24; s. 17320 - 17332
Hlavní autoři:	Yang, Shicheng, Wen, Ying, He, Lianghua, Zhou, MengChu, Abusorrah, Abdullah
Médium:	Journal Article
Jazyk:	angličtina
Vydáno:	Piscataway IEEE 15.12.2021 The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Témata:	Algorithms Artificial neural networks Classification Datasets Dictionaries Face recognition Feature extraction Image reconstruction Internet of Things Lagrange multiplier Mathematical models Neural networks Polynomials Representations sparse individual low-rank component representation sparse representation Training Training data
ISSN:	2327-4662, 2327-4662
On-line přístup:	Získat plný text
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