Dictionary learning and face recognition based on sample expansion-Reference-Cited by-同舟云学术

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Dictionary learning and face recognition based on sample expansion

Published:2021-07-10 Issue: Volume: Page:
ISSN:0924-669X
Container-title:Applied Intelligence
language:en
Short-container-title:Appl Intell

Author:

Zhang Yongjun^ORCID,Liu Wenjie,Fan Haisheng,Zou Yongjie,Cui Zhongwei,Wang Qian

Funder

Research Foundation for Advanced Talents of Guizhou University

Key Laboratory of Microbial Resources and Drug Development in Guizhou Province

Key Supported Disciplines of Guizhou Province - Computer Application Technology

National Natural Science Foundation of China

Batten Institute for Innovation and Entrepreneurship, Darden School of Business, University of Virginia

Publisher

Springer Science and Business Media LLC

Subject

Artificial Intelligence

Link

https://link.springer.com/content/pdf/10.1007/s10489-021-02557-2.pdf

Reference32 articles.

1. Liu Y, Lasang P, Siegel M et al (2016) Multi-sparse descriptor: a scale invariant feature for pedestrian detection[J]. Neurocomputing 184:55–65

2. Vu TH, Monga V (2017) Fast low-rank shared dictionary learning for image classification[J]. IEEE Transactions on Image Processing PP(99):1–1

3. Abrol V, Sharma P, Sao AK (2016) Greedy dictionary learning for kernel sparse representation based classifier[J]. Pattern Recogn Lett 78(C):64–69

4. Bi C, Yi Y, Zhang L et al (2020) Jointly learning the discriminative dictionary and projection for face recognition[J]. Mathematical Problems in Engineering, 2020. https://doi.org/10.1155/2020/1527965

5. Xu Y, Li Z, Zhang B et al (2017) Sample diversity, representation effectiveness and robust dictionary learning for face recognition[J]. Inf Sci 375(C):171–182

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