Unified subspace learning for incomplete and unlabeled multi-view data
文献类型：期刊论文
| 作者 | Yin, Qiyue ; Wu, Shu; Wang, Liang
|
| 刊名 | PATTERN RECOGNITION
 |
| 出版日期 | 2017-07-01 |
| 卷号 | 67期号:67页码:313-327 |
| 关键词 | Multi-view Learning Subspace Learning Incomplete And Unlabeled Data Multi-view Clustering Cross-modal Retrieval |
| DOI | 10.1016/j.patcog.2017.01.035 |
| 文献子类 | Article |
| 英文摘要 | Multi-view data with each view corresponding to a type of feature set are common in real world. Usually, previous multi-view learning methods assume complete views. However, multi-view data are often incomplete, namely some samples have incomplete feature sets. Besides, most data are unlabeled due to a large cost of manual annotation, which makes learning of such data a challenging problem. In this paper, we propose a novel subspace learning framework for incomplete and unlabeled multi-view data. The model directly optimizes the class indicator matrix, which establishes a bridge for incomplete feature sets. Besides, feature selection is considered to deal with high dimensional and noisy features. Furthermore, the inter-view and intra-view data similarities are preserved to enhance the model. To these ends, an objective is developed along with an efficient optimization strategy. Finally, extensive experiments are conducted for multi-view clustering and cross-modal retrieval, achieving the state-of-the-art performance under various settings. (C) 2017 Elsevier Ltd. All rights reserved. |
| WOS研究方向 | Computer Science ; Engineering |
| 语种 | 英语 |
| WOS记录号 | WOS:000399520700026 |
| 资助机构 | state key development program(2016YFB1001000) ; National Natural Science Foundation of China(61403390 ; U1435221) |
| 源URL | [http://ir.ia.ac.cn/handle/173211/14541]  |
| 专题 | 自动化研究所_智能感知与计算研究中心 |
| 作者单位 | Chinese Acad Sci, Inst Automat, Ctr Res Intelligent Percept & Comp, Natl Lab Pattern Recognit, Beijing 100190, Peoples R China |
| 推荐引用方式 GB/T 7714 | Yin, Qiyue,Wu, Shu,Wang, Liang. Unified subspace learning for incomplete and unlabeled multi-view data[J]. PATTERN RECOGNITION,2017,67(67):313-327. |
| APA | Yin, Qiyue,Wu, Shu,&Wang, Liang.(2017).Unified subspace learning for incomplete and unlabeled multi-view data.PATTERN RECOGNITION,67(67),313-327. |
| MLA | Yin, Qiyue,et al."Unified subspace learning for incomplete and unlabeled multi-view data".PATTERN RECOGNITION 67.67(2017):313-327. |
入库方式： OAI收割
来源：自动化研究所
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