A learning strategy in CBIR system design

Sheng-rong Gong, Zhao-hui Wang, Jian-Min Zhao
{"title":"A learning strategy in CBIR system design","authors":"Sheng-rong Gong, Zhao-hui Wang, Jian-Min Zhao","doi":"10.1109/ICMLC.2002.1174480","DOIUrl":null,"url":null,"abstract":"In this paper, a flexible relevance feedback learning strategy is proposed. Applying the learning strategy, the user can embed semantic information by interacting continuously with the retrieval system. Experimental results show that the designed learning strategy is robust, efficient and effective.","PeriodicalId":90702,"journal":{"name":"Proceedings. International Conference on Machine Learning and Cybernetics","volume":"64 1","pages":"754-756 vol.2"},"PeriodicalIF":0.0000,"publicationDate":"2002-11-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings. International Conference on Machine Learning and Cybernetics","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICMLC.2002.1174480","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 1

Abstract

In this paper, a flexible relevance feedback learning strategy is proposed. Applying the learning strategy, the user can embed semantic information by interacting continuously with the retrieval system. Experimental results show that the designed learning strategy is robust, efficient and effective.
查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
CBIR系统设计中的学习策略
本文提出了一种灵活的关联反馈学习策略。利用学习策略,用户可以通过与检索系统的持续交互来嵌入语义信息。实验结果表明,所设计的学习策略具有鲁棒性、高效性和有效性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 去求助
来源期刊
自引率
0.00%
发文量
0
期刊最新文献
Plenary Talk: Digital-Twin Fluid Engineering APPLYING MACHINE LEARNING TECHNIQUES IN DETECTING BACTERIAL VAGINOSIS. OPTICAL COHERENCE TOMOGRAPHY HEART TUBE IMAGE DENOISING BASED ON CONTOURLET TRANSFORM. The multistage support vector machine Anti-control of chaos based on fuzzy neural networks inverse system method
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 联系我们:info@booksci.cn
Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。
Copyright © 2023 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1