Institutional Repository of Chinese Acad Sci, Inst Automat, Natl Lab Pattern Recognit, Beijing 100190, Peoples R China
| Multiview Label Sharing for Visual Representations and Classifications | |
Zhang, Chunjie1,2 ; Cheng, Jian2,3,4; Tian, Qi5
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| Source Publication | IEEE TRANSACTIONS ON MULTIMEDIA
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| 2018-04-01 | |
| Volume | 20Issue:4Pages:903-913 |
| Subtype | Article |
| Abstract | Different views represent different aspects of images. It is more effective to combine them for visual classifications. This paper proposes a novel multiview label sharing method to combine the discriminative power of different views for classifications. Especially, we linearly transfer different views into a shared space for representations. The inter-view similarities are kept in the shared space for each view. We also ensure the intra-view similarities of the same class between different views are preserved in the shared space. We jointly learn the classifiers and transformation matrices by minimizing the summed classification loss along with the inter-view and intra-view similarity constraints. In this paper, the inter-view constraints refer to the similarities between images of the corresponding view, whereas the intra-view constraints refer to the similarities between different views of images with the same semantics. Experimental results and analysis on several public datasets show the effectiveness of the proposed multiview label sharing method for visual classifications. |
| Keyword | Multi-view Learning Linear Transformation Shared Space Image Representation Visual Classification |
| WOS Headings | Science & Technology ; Technology |
| DOI | 10.1109/TMM.2017.2759500 |
| WOS Keyword | IMAGE CLASSIFICATION ; LOW-RANK ; SPARSE DECOMPOSITION |
| Indexed By | SCI |
| Language | 英语 |
| Funding Organization | National Natural Science Foundation of China(61303154 ; Scientific Research Key Program of Beijing Municipal Commission of Education(KZ201610005012) ; ARO Grant(W911NF-15-1-0290) ; NEC Laboratories of America ; Blippar ; National Science Foundation of China(61429201) ; 61332016) |
| WOS Research Area | Computer Science ; Telecommunications |
| WOS Subject | Computer Science, Information Systems ; Computer Science, Software Engineering ; Telecommunications |
| WOS ID | WOS:000427623000011 |
| Citation statistics | |
| Document Type | 期刊论文 |
| Identifier | http://ir.ia.ac.cn/handle/173211/21991 |
| Collection | 模式识别国家重点实验室_图像与视频分析 |
| Affiliation | 1.Chinese Acad Sci, Inst Automat, Res Ctr Brain Inspired Intelligence, Beijing 100190, Peoples R China 2.Univ Chinese Acad Sci, Beijing 100049, Peoples R China 3.Chinese Acad Sci, Natl Lab Pattern Recognit, Inst Automat, Beijing 100190, Peoples R China 4.Chinese Acad Sci, Ctr Excellence Brain Sci & Intelligence Technol, Beijing 100190, Peoples R China 5.Univ Texas San Antonio, Dept Comp Sci, San Antonio, TX 78249 USA |
| First Author Affilication | Institute of Automation, Chinese Academy of Sciences |
| Recommended Citation GB/T 7714 | Zhang, Chunjie,Cheng, Jian,Tian, Qi. Multiview Label Sharing for Visual Representations and Classifications[J]. IEEE TRANSACTIONS ON MULTIMEDIA,2018,20(4):903-913. |
| APA | Zhang, Chunjie,Cheng, Jian,&Tian, Qi.(2018).Multiview Label Sharing for Visual Representations and Classifications.IEEE TRANSACTIONS ON MULTIMEDIA,20(4),903-913. |
| MLA | Zhang, Chunjie,et al."Multiview Label Sharing for Visual Representations and Classifications".IEEE TRANSACTIONS ON MULTIMEDIA 20.4(2018):903-913. |
| Files in This Item: | Download All | |||||
| File Name/Size | DocType | Version | Access | License | ||
| 08059841.pdf（615KB） | 期刊论文 | 作者接受稿 | 开放获取 | CC BY-NC-SA | View Download | |
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