CASIA OpenIR  > 智能感知与计算研究中心
Unified subspace learning for incomplete and unlabeled multi-view data
Yin, Qiyue; Wu, Shu; Wang, Liang
2017-07-01
发表期刊PATTERN RECOGNITION
卷号67期号:67页码:313-327
文章类型Article
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.
关键词Multi-view Learning Subspace Learning Incomplete And Unlabeled Data Multi-view Clustering Cross-modal Retrieval
WOS标题词Science & Technology ; Technology
DOI10.1016/j.patcog.2017.01.035
收录类别SCI
语种英语
项目资助者state key development program(2016YFB1001000) ; National Natural Science Foundation of China(61403390 ; U1435221)
WOS研究方向Computer Science ; Engineering
WOS类目Computer Science, Artificial Intelligence ; Engineering, Electrical & Electronic
WOS记录号WOS:000399520700026
引用统计
文献类型期刊论文
条目标识符http://ir.ia.ac.cn/handle/173211/14541
专题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.
条目包含的文件 下载所有文件
文件名称/大小 文献类型 版本类型 开放类型 使用许可
Unified subspace lea(3777KB)期刊论文作者接受稿开放获取CC BY-NC-SA浏览 下载
个性服务
推荐该条目
保存到收藏夹
查看访问统计
导出为Endnote文件
谷歌学术
谷歌学术中相似的文章
[Yin, Qiyue]的文章
[Wu, Shu]的文章
[Wang, Liang]的文章
百度学术
百度学术中相似的文章
[Yin, Qiyue]的文章
[Wu, Shu]的文章
[Wang, Liang]的文章
必应学术
必应学术中相似的文章
[Yin, Qiyue]的文章
[Wu, Shu]的文章
[Wang, Liang]的文章
相关权益政策
暂无数据
收藏/分享
文件名: Unified subspace learning for incomplete and unlabeled multi-view data.pdf
格式: Adobe PDF
所有评论 (0)
暂无评论
 

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。