Algorithm Research & Explore
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App. Res. of Comp. Printed Article
Vol. 38, 2021 No. 10
3035-3039

Representation-based classification based on k-minimum representation error classes

Luo Zhiyu
Zheng Chengyong
School of Mathematics & Computer Science, Wuyi University, Jiangmen Guangdong 529000, China
DOI: 10.19734/j.issn.1001-3695.2021.01.0049

Abstract

Representation-based classification(RC) usually uses all the training samples of all pattern classes to represent a test sample. However, whether it is necessary to use all pattern classes to represent the test sample remains to be investigated. So, this paper proposed two-stage representation-based classification framework. First, it used a RC algorithm to calculate the representation coefficients of the test sample w. r. t the training samples of all classes, and found the first k(k≥1) classes with the minimum representation error. Then with the training samples of these k classes, it applied a RC algorithm again to represent the test sample, based on which, the label of the test sample was finally determined by finding the minimal representation error class among those k classes. In addition, this paper developed a nonnegative weighted collaborative RC(NWCRC) algorithm. The first and second RC algorithm of the proposed RC framework could be the same or different. Setting the first and second RC algorithms to be the same, with five different RC, experiments were carried out on five databases, experimental results of which show that the proposed two-stage RC framework can significantly improve the classification accuracy of the original RC algorithms in most cases.

Foundation Support

广东省自然科学基金资助项目(2018A030313063)

Publish Information

DOI: 10.19734/j.issn.1001-3695.2021.01.0049
Publish at: Application Research of Computers Printed Article, Vol. 38, 2021 No. 10
Section: Algorithm Research & Explore
Pages: 3035-3039
Serial Number: 1001-3695(2021)10-026-3035-05

Publish History

[2021-10-05] Printed Article

Cite This Article

罗智玉, 郑成勇. 基于k-最小表示误差类的表示分类方法 [J]. 计算机应用研究, 2021, 38 (10): 3035-3039. (Luo Zhiyu, Zheng Chengyong. Representation-based classification based on k-minimum representation error classes [J]. Application Research of Computers, 2021, 38 (10): 3035-3039. )

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  • Application Research of Computers Monthly Journal
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    CN  51-1196/TP

Application Research of Computers, founded in 1984, is an academic journal of computing technology sponsored by Sichuan Institute of Computer Sciences under the Science and Technology Department of Sichuan Province.

Aiming at the urgently needed cutting-edge technology in this discipline, Application Research of Computers reflects the mainstream technology, hot technology and the latest development trend of computer application research at home and abroad in a timely manner. The main contents of the journal include high-level academic papers in this discipline, the latest scientific research results and major application results. The contents of the columns involve new theories of computer discipline, basic computer theory, algorithm theory research, algorithm design and analysis, blockchain technology, system software and software engineering technology, pattern recognition and artificial intelligence, architecture, advanced computing, parallel processing, database technology, computer network and communication technology, information security technology, computer image graphics and its latest hot application technology.

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