赵小薇

个人信息Personal Information

副教授

硕士生导师

性别:女

毕业院校:大连理工大学

学位:博士

所在单位:软件学院、国际信息与软件学院

学科:软件工程

办公地点:大连理工大学开发区校区软件学院综合楼319

联系方式:18904111411

电子邮箱:xiaowei.zhao@dlut.edu.cn

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论文成果

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Mixture Self-Paced Learning for Multi-view K-Means Clustering

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论文类型:会议论文

发表时间:2017-11-06

卷号:2018-January

页面范围:1210-1215

摘要:In our daily life, there are more and more data characterized by multiple features. In multi-view setting, the clusters estimated using single view have some limitations, and the quality of single view clustering can be improved by means of multi-view clustering. Self-paced learning simulates human learning process which can gradually combine information of views into clustering task from easy to complex. In this paper, we first propose a new mixture self-paced learning regularizer. To recap the effectiveness of regularizer, we combine it with robust multi-view k-means clustering and propose a new selfpaced learning based multi-view k-means (SPLMKM) clustering method. As a non-trivial contribution, we present the solution based on alternating minimization strategy. The comparative experiments reveal the benefit of our proposed method. © 2017 IEEE.