Globality-Locality Preserving Maximum Variance Extreme Learning Machine
Joint Authors
Lin, Hongfei
Chu, Yonghe
Yang, Liang
Diao, Yufeng
Zhang, Dongyu
Zhang, Shaowu
Fan, Xiaochao
Shen, Chen
Yan, Deqin
Source
Issue
Vol. 2019, Issue 2019 (31 Dec. 2019), pp.1-18, 18 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2019-05-02
Country of Publication
Egypt
No. of Pages
18
Main Subjects
Abstract EN
An extreme learning machine (ELM) is a useful technique for machine learning; however, the existing extreme learning machine methods cannot exploit the geometric structure information or discriminate information of the data space well.
Therefore, we propose a globality-locality preserving maximum variance extreme learning machine (GLELM) based on manifold learning.
Based on the characteristics of the traditional ELM method, GLELM introduces the basic principles of linear discriminant analysis (LDA) and local preservation projection (LPP) into ELM, fully taking account of the discriminant information contained in the sample.
This method can preserve the global and local manifold structures of data to optimize the projection direction of the classifier.
Experiments on several widely used image databases and UCI datasets validate the performance of GLELM.
The experimental results show that the proposed model achieves promising results compared to several state-of-the-art ELM algorithms.
American Psychological Association (APA)
Chu, Yonghe& Lin, Hongfei& Yang, Liang& Diao, Yufeng& Zhang, Dongyu& Zhang, Shaowu…[et al.]. 2019. Globality-Locality Preserving Maximum Variance Extreme Learning Machine. Complexity،Vol. 2019, no. 2019, pp.1-18.
https://search.emarefa.net/detail/BIM-1131118
Modern Language Association (MLA)
Chu, Yonghe…[et al.]. Globality-Locality Preserving Maximum Variance Extreme Learning Machine. Complexity No. 2019 (2019), pp.1-18.
https://search.emarefa.net/detail/BIM-1131118
American Medical Association (AMA)
Chu, Yonghe& Lin, Hongfei& Yang, Liang& Diao, Yufeng& Zhang, Dongyu& Zhang, Shaowu…[et al.]. Globality-Locality Preserving Maximum Variance Extreme Learning Machine. Complexity. 2019. Vol. 2019, no. 2019, pp.1-18.
https://search.emarefa.net/detail/BIM-1131118
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1131118