Generalized compressed sensing with QR-based vision matrix learning for face recognition under natural scenes-Reference-Cited by-同舟云学术

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Generalized compressed sensing with QR-based vision matrix learning for face recognition under natural scenes

Published:2019-09 Issue: Volume:77 Page:11-19
ISSN:0923-5965
Container-title:Signal Processing: Image Communication
language:en
Short-container-title:Signal Processing: Image Communication

Author:

Liu Ji-xin,Han Guang,Sun Ning,Li Xiao-fei,Gong Zhi-guo,Sun Quan-sen

Funder

Provincial Natural Science Foundation of the Science and Technology Bureau of Jiangsu Province

China Postdoctoral Science Foundation

Scientific Research Foundation of Nanjing University of Posts and Telecommunications

China National Natural Science Funds

Publisher

Elsevier BV

Subject

Electrical and Electronic Engineering,Computer Vision and Pattern Recognition,Signal Processing,Software

Reference54 articles.

1. Bistatic terahertz radar azimuth-elevation imaging based on compressed sensing;Wang;IEEE Trans. Terahertz Sci. Technol.,2014

2. On the security of compressed sensing-based signal cryptosystem;Yang;IEEE Trans. Emerg. Top. Comput.,2015

3. Extended compressed tracking via random projection based on MSERs and online LS-SVM learning;Gao;Pattern Recognit.,2016

4. A general framework for compressed sensing and parallel MRI using annihilating filter based low-rank hankel matrix;Jin;IEEE Trans. Comput. Imaging,2015

5. Robust face recognition via sparse representation;Wright;IEEE Trans. Pattern Anal. Mach. Intell.,2009

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