Adaptive Graph Embedding With Consistency and Specificity for Domain Adaptation
文献类型：期刊论文
| 作者 | Shaohua Teng; Zefeng Zheng; Naiqi Wu; Luyao Teng; Wei Zhang
|
| 刊名 | IEEE/CAA Journal of Automatica Sinica
 |
| 出版日期 | 2023 |
| 卷号 | 10期号:11页码:2094-2107 |
| 关键词 | Adaptive adjustment consistency and specificity domain adaptation graph embedding geometrical and semantic metrics |
| ISSN号 | 2329-9266 |
| DOI | 10.1109/JAS.2023.123318 |
| 英文摘要 | Domain adaptation (DA) aims to find a subspace, where the discrepancies between the source and target domains are reduced. Based on this subspace, the classifier trained by the labeled source samples can classify unlabeled target samples well. Existing approaches leverage Graph Embedding Learning to explore such a subspace. Unfortunately, due to 1) the interaction of the consistency and specificity between samples, and 2) the joint impact of the degenerated features and incorrect labels in the samples, the existing approaches might assign unsuitable similarity, which restricts their performance. In this paper, we propose an approach called adaptive graph embedding with consistency and specificity (AGE-CS) to cope with these issues. AGE-CS consists of two methods, i.e., graph embedding with consistency and specificity (GECS), and adaptive graph embedding (AGE). GECS jointly learns the similarity of samples under the geometric distance and semantic similarity metrics, while AGE adaptively adjusts the relative importance between the geometric distance and semantic similarity during the iterations. By AGE-CS, the neighborhood samples with the same label are rewarded, while the neighborhood samples with different labels are punished. As a result, compact structures are preserved, and advanced performance is achieved. Extensive experiments on five benchmark datasets demonstrate that the proposed method performs better than other Graph Embedding methods. |
| 源URL | [http://ir.ia.ac.cn/handle/173211/52426]  |
| 专题 | 自动化研究所_学术期刊_IEEE/CAA Journal of Automatica Sinica |
| 推荐引用方式 GB/T 7714 | Shaohua Teng,Zefeng Zheng,Naiqi Wu,et al. Adaptive Graph Embedding With Consistency and Specificity for Domain Adaptation[J]. IEEE/CAA Journal of Automatica Sinica,2023,10(11):2094-2107. |
| APA | Shaohua Teng,Zefeng Zheng,Naiqi Wu,Luyao Teng,&Wei Zhang.(2023).Adaptive Graph Embedding With Consistency and Specificity for Domain Adaptation.IEEE/CAA Journal of Automatica Sinica,10(11),2094-2107. |
| MLA | Shaohua Teng,et al."Adaptive Graph Embedding With Consistency and Specificity for Domain Adaptation".IEEE/CAA Journal of Automatica Sinica 10.11(2023):2094-2107. |
入库方式： OAI收割
来源：自动化研究所
浏览0
下载0
收藏0
其他版本
除非特别说明，本系统中所有内容都受版权保护，并保留所有权利。