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...

Full description

Saved in:

Bibliographic Details
Published in:	IEEE internet of things journal Vol. 8; no. 24; pp. 17320 - 17332
Main Authors:	Yang, Shicheng, Wen, Ying, He, Lianghua, Zhou, MengChu, Abusorrah, Abdullah
Format:	Journal Article
Language:	English
Published:	Piscataway IEEE 15.12.2021 The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subjects:	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
Online Access:	Get full text
Tags:	Add Tag No Tags, Be the first to tag this record!

Be the first to leave a comment!