{"title":"CBIR系统设计中的学习策略","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":"{\"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}","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}
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.
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