Virtual samples and sparse representation‐based classification algorithm for face recognition-Reference-Cited by-同舟云学术

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Virtual samples and sparse representation‐based classification algorithm for face recognition

Published:2018-08-13 Issue:2 Volume:13 Page:172-177
ISSN:1751-9640
Container-title:IET Computer Vision
language:en
Short-container-title:IET Computer Vision

Author:

Peng Yali¹²³,Li Lingjun¹²,Liu Shigang¹²^ORCID,Li Jun⁴,Cao Han¹²³

Affiliation:

1. Key Laboratory of Modern Teaching Technology, Ministry of EducationXi'an710062People's Republic of China

2. Engineering Laboratory of Teaching Information Technology of Shaanxi ProvinceXi'an710119People's Republic of China

3. School of Computer Science, Shaanxi Normal UniversityXi'an710119People's Republic of China

4. School of Automation, Southeast UniversityNanjing210096People's Republic of China

Funder

National Natural Science Foundation of China

Publisher

Institution of Engineering and Technology (IET)

Subject

Computer Vision and Pattern Recognition,Software

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1049/iet-cvi.2018.5096

Reference58 articles.

1. Adaptive weighted nonnegative low-rank representation

2. Deformed Graph Laplacian for Semisupervised Learning

3. Label Propagation via Teaching-to-Learn and Learning-to-Teach

4. Inter-class sparsity based discriminative least square regression

5. Kernel Negative ε Dragging Linear Regression for Pattern Classification

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2. Sparse Representation Based on Modified Genetic Algorithm for Classification;Iranian Journal of Science and Technology, Transactions of Electrical Engineering;2022-04-06

3. Stochastic gradient descent linear collaborative discriminant regression classification based face recognition;Evolutionary Intelligence;2021-03-08

4. Artificial intelligence system based on the layout effect of both sides in volleyball matches;Journal of Intelligent & Fuzzy Systems;2021-02-02

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