OPT OpenIR  > 光谱成像技术研究室
Multi-view clustering and semi-supervised classification with adaptive neighbours
Nie, Feiping1; Cai, Guohao1; Li, Xuelong2
2017
会议名称31st AAAI Conference on Artificial Intelligence, AAAI 2017
会议录名称31st AAAI Conference on Artificial Intelligence, AAAI 2017
页码2408-2414
会议日期2017-02-04
会议地点San Francisco, CA, United states
出版者AAAI press
产权排序2
摘要

Due to the efficiency of learning relationships and complex structures hidden in data, graph-oriented methods have been widely investigated and achieve promising performance in multi-view learning. Generally, these learning algorithms construct informative graph for each view or fuse different views to one graph, on which the following procedure are based. However, in many real world dataset, original data always contain noise and outlying entries that result in unreliable and inaccurate graphs, which cannot be ameliorated in the previous methods. In this paper, we propose a novel multi-view learning model which performs clustering/semi-supervised classification and local structure learning simultaneously. The obtained optimal graph can be partitioned into specific clusters directly. Moreover, our model can allocate ideal weight for each view automatically without additional weight and penalty parameters. An efficient algorithm is proposed to optimize this model. Extensive experimental results on different real-world datasets show that the proposed model outperforms other state-of-the-art multi-view algorithms. © Copyright 2017, Association for the Advancement of Artificial Intelligence (www.aaai.org). All rights reserved.

作者部门光学影像学习与分析中心
收录类别EI
语种英语
文献类型会议论文
条目标识符http://ir.opt.ac.cn/handle/181661/29403
专题光谱成像技术研究室
作者单位1.School of Computer Science and Center for OPTical IMagery Analysis and Learning (OPTIMAL), Northwestern Polytechnical University, Xi'an, Shaanxi; 710072, China
2.Center for OPTical IMagery Analysis and Learning (OPTIMAL), Xi'an Institute of Optics and Precision Mechanics, Chinese Academy of Sciences, Xi'an, Shaanxi; 710119, China
推荐引用方式
GB/T 7714
Nie, Feiping,Cai, Guohao,Li, Xuelong. Multi-view clustering and semi-supervised classification with adaptive neighbours[C]:AAAI press,2017:2408-2414.
条目包含的文件
文件名称/大小 文献类型 版本类型 开放类型 使用许可
Multi-view clusterin(682KB)会议论文 限制开放CC BY-NC-SA请求全文
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
[Nie, Feiping]的文章
[Cai, Guohao]的文章
[Li, Xuelong]的文章
百度学术
百度学术中相似的文章
[Nie, Feiping]的文章
[Cai, Guohao]的文章
[Li, Xuelong]的文章
必应学术
必应学术中相似的文章
[Nie, Feiping]的文章
[Cai, Guohao]的文章
[Li, Xuelong]的文章
相关权益政策
暂无数据
收藏/分享
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。