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Semi-supervised graph-based retargeted least squares regression
Yuan, Haoliang1; Zheng, Junjie1; Lai, Loi Lei1; Tang, Yuan Yan2
Source PublicationSignal Processing

In this paper, we propose a semi-supervised graph-based retargeted least squares regression model (SSGReLSR) for multicategory classification. The main motivation behind SSGReLSR is to utilize a graph regularization to restrict the regression labels of ReLSR, such that similar samples should have similar regression labels. However, in SSGReLSR, constructing the graph structure and learning the regression matrix are two independent processes, which can't guarantee an overall optimum. To overcome this shortage of SSGReLSR, we also propose a semi-supervised graph learning retargeted least squares regression model (SSGLReLSR), where linear squares regression and graph construction are unified into a same framework to achieve an overall optimum. To optimize our proposed SSGLReLSR, an efficient iteration algorithm is proposed. Extensive experiments results confirm the effectiveness of our proposed methods. 

KeywordGraph Learning Retargeted Least Squares Regression (Relsr) Multicategory Classification
URLView the original
Indexed BySCI
WOS Research AreaEngineering
WOS SubjectEngineering, Electrical & Electronic
WOS IDWOS:000412611900020
The Source to ArticleWOS
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Cited Times [WOS]:2   [WOS Record]     [Related Records in WOS]
Document TypeJournal article
Corresponding AuthorYuan, Haoliang
Affiliation1.School of Automation, Guangdong University of Technology, Guangzhou 510006, China
2.Department of Computer and Information Science, University of Macau, Macau 999078, China
Recommended Citation
GB/T 7714
Yuan, Haoliang,Zheng, Junjie,Lai, Loi Lei,et al. Semi-supervised graph-based retargeted least squares regression[J]. Signal Processing,2018,142:188-193.
APA Yuan, Haoliang,Zheng, Junjie,Lai, Loi Lei,&Tang, Yuan Yan.(2018).Semi-supervised graph-based retargeted least squares regression.Signal Processing,142,188-193.
MLA Yuan, Haoliang,et al."Semi-supervised graph-based retargeted least squares regression".Signal Processing 142(2018):188-193.
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