通过调和函数实现多视图降维

2015 IEEE Advanced Information Technology, Electronic and Automation Control Conference (IAEAC) Pub Date : 2015-12-01 DOI:10.1109/IAEAC.2015.7428691

Zhu Cheng-wen, Chen Xin-qin, Zheng Yan, Cai Xiao-yan, Zeng Chui-zhen

{"title":"通过调和函数实现多视图降维","authors":"Zhu Cheng-wen, Chen Xin-qin, Zheng Yan, Cai Xiao-yan, Zeng Chui-zhen","doi":"10.1109/IAEAC.2015.7428691","DOIUrl":null,"url":null,"abstract":"Based on Multiple View Semi-supervised Dimensionality Reduction (MVSSDR), this thesis will propose Multiple View Dimensionality Reduction via Harmonic Function (MVDRHF), which substitutes the soft label gained in the harmonic-function-based label propagation technique for the link information in MVSSDR, thus avoids the transformation from label information to link information to preserve the prior information as much as possible and finally guarantee better dimensionality reduction power.","PeriodicalId":398100,"journal":{"name":"2015 IEEE Advanced Information Technology, Electronic and Automation Control Conference (IAEAC)","volume":"21 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2015-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Multi-view dimensionality reduction via harmonic function\",\"authors\":\"Zhu Cheng-wen, Chen Xin-qin, Zheng Yan, Cai Xiao-yan, Zeng Chui-zhen\",\"doi\":\"10.1109/IAEAC.2015.7428691\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Based on Multiple View Semi-supervised Dimensionality Reduction (MVSSDR), this thesis will propose Multiple View Dimensionality Reduction via Harmonic Function (MVDRHF), which substitutes the soft label gained in the harmonic-function-based label propagation technique for the link information in MVSSDR, thus avoids the transformation from label information to link information to preserve the prior information as much as possible and finally guarantee better dimensionality reduction power.\",\"PeriodicalId\":398100,\"journal\":{\"name\":\"2015 IEEE Advanced Information Technology, Electronic and Automation Control Conference (IAEAC)\",\"volume\":\"21 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2015-12-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2015 IEEE Advanced Information Technology, Electronic and Automation Control Conference (IAEAC)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/IAEAC.2015.7428691\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2015 IEEE Advanced Information Technology, Electronic and Automation Control Conference (IAEAC)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/IAEAC.2015.7428691","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}

引用次数: 0

摘要

本文将在多视图半监督降维(MVSSDR)的基础上，提出多视图谐波函数降维(MVDRHF)，用基于谐波函数的标签传播技术获得的软标签代替MVSSDR中的链路信息，避免了从标签信息到链路信息的转换，尽可能地保留了先验信息，从而保证了更好的降维能力。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

查看原文本刊更多论文

Multi-view dimensionality reduction via harmonic function

Based on Multiple View Semi-supervised Dimensionality Reduction (MVSSDR), this thesis will propose Multiple View Dimensionality Reduction via Harmonic Function (MVDRHF), which substitutes the soft label gained in the harmonic-function-based label propagation technique for the link information in MVSSDR, thus avoids the transformation from label information to link information to preserve the prior information as much as possible and finally guarantee better dimensionality reduction power.

求助全文

通过发布文献求助，成功后即可免费获取论文全文。去求助

来源期刊

2015 IEEE Advanced Information Technology, Electronic and Automation Control Conference (IAEAC)

自引率

0.00%

发文量