摘要
Relevance feedback is a power tool to increase the retrieval performance in content-based image retrieval system. In this paper,we review three relevance feedback algorithms,i. e. spatial transform model ,clustering model and Bayes model,and discuss their advantages and disadvantages.
Relevance feedback is a power tool to increase the retrieval performance in content-based image retrieval system. In this paper,we review three relevance feedback algorithms,i, e. spatial transform model,clustering model and Bayes model,and discuss their advantages and disadvantages.
出处
《计算机科学》
CSCD
北大核心
2001年第9期109-111,105,共4页
Computer Science
基金
自然科学基金(69935010
60003017)
国家863计划等资助
