Knowledge Commons of Institute of Automation，CAS
| Multi-view laplacian least squares for human emotion recognition | |
Guo, Shuai1; Feng, Lin1; Feng, Zhan-Bo2; Li, Yi-Hao2; Wang, Yang1 ; Liu, Sheng-Lan1; Qiao, Hong3
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| 发表期刊 | NEUROCOMPUTING
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| ISSN | 0925-2312 |
| 2019-12-22 | |
| 卷号 | 370页码:78-87 |
| 通讯作者 | Feng, Lin(fenglin@dlut.edu.cn) |
| 摘要 | Human emotion recognition is an emerging and important area in the field of human-computer interaction and artificial intelligence, which has been more and more related with multi-view learning methods. Subspace learning is an important direction of multi-view learning. However, most existing subspace learning methods could not make full use of both category discriminant information and local neighborhood information. As a typical subspace learning method, partial least squares (PLS) performs better and more robustly than many other subspace learning methods, because PLS is optimized with iteration method. However, PLS suffers from linear relationship assumption and two-view limitation. In this paper, a new nonlinear multi-view laplacian least squares (MvLLS) is proposed. MvLLS constructs a global laplacian weighted graph (GLWP) to introduce category discriminant information as well as protects the local neighborhood information. Optimized with iteration method, MvLLS is a multi-view extension of PLS. The proposed method has great extendibility and robustness. To meet the requirements of large-scale applications, weighted local preserving embedding (WLPE) is proposed as the out-of-sample extension of MvLLS, basing on the idea of maintaining the manifold structures of original space. Finally, the proposed method is verified on three multi-view emotion recognition tasks, the experiment results validate the effectiveness and robustness of MvLLS. (C) 2019 Published by Elsevier B.V. |
| 关键词 | Multi-view learning Laplacian least squares Subspace learning Human emotion recognition |
| DOI | 10.1016/j.neucom.2019.07.049 |
| 关键词[WOS] | CANONICAL CORRELATION-ANALYSIS |
| 收录类别 | SCI |
| 语种 | 英语 |
| 资助项目 | National Natural Science Foundation of People's Republic of China[61672130] ; National Natural Science Foundation of People's Republic of China[61602082] ; National Natural Science Foundation of People's Republic of China[91648205] ; National Key Scientific Instrument and Equipment Development Project[61627808] ; Development of Science and Technology of Guangdong Province Special Fund Project Grants[2016B090910001] ; LiaoNing Revitalization Talents Program[XLYC180 6006] ; National Natural Science Foundation of People's Republic of China[61672130] ; National Natural Science Foundation of People's Republic of China[61602082] ; National Natural Science Foundation of People's Republic of China[91648205] ; National Key Scientific Instrument and Equipment Development Project[61627808] ; Development of Science and Technology of Guangdong Province Special Fund Project Grants[2016B090910001] ; LiaoNing Revitalization Talents Program[XLYC180 6006] |
| 项目资助者 | National Natural Science Foundation of People's Republic of China ; National Key Scientific Instrument and Equipment Development Project ; Development of Science and Technology of Guangdong Province Special Fund Project Grants ; LiaoNing Revitalization Talents Program |
| WOS研究方向 | Computer Science |
| WOS类目 | Computer Science, Artificial Intelligence |
| WOS记录号 | WOS:000493285800007 |
| 出版者 | ELSEVIER |
| 引用统计 | |
| 文献类型 | 期刊论文 |
| 条目标识符 | http://ir.ia.ac.cn/handle/173211/28837 |
| 专题 | 多模态人工智能系统全国重点实验室_机器人理论与应用 |
| 通讯作者 | Feng, Lin |
| 作者单位 | 1.Dalian Univ Technol, Sch Innovat & Entrepreneurship, Dalian 116024, Peoples R China 2.Dalian Univ Technol, Sch Elect Informat & Elect Engn, Dalian 116024, Peoples R China 3.Chinese Acad Sci, Inst Automat, State Key Lab Management & Control Complex Syst, Beijing 100190, Peoples R China |
| 推荐引用方式 GB/T 7714 | Guo, Shuai,Feng, Lin,Feng, Zhan-Bo,et al. Multi-view laplacian least squares for human emotion recognition[J]. NEUROCOMPUTING,2019,370:78-87. |
| APA | Guo, Shuai.,Feng, Lin.,Feng, Zhan-Bo.,Li, Yi-Hao.,Wang, Yang.,...&Qiao, Hong.(2019).Multi-view laplacian least squares for human emotion recognition.NEUROCOMPUTING,370,78-87. |
| MLA | Guo, Shuai,et al."Multi-view laplacian least squares for human emotion recognition".NEUROCOMPUTING 370(2019):78-87. |
| 条目包含的文件 | 条目无相关文件。 | |||||
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