Interest Extraction Using Relevance Feedback with Kernel Method
نویسندگان
چکیده
منابع مشابه
Kernel indexing for relevance feedback image retrieval
Relevance feedback is an attractive approach to developing flexible metrics for content-based retrieval in image and video databases. Large image databases require an index structure in order to reduce nearest neighbor computation. However, flexible metrics can alter an input space in a highly nonlinear fashion, thereby rendering the index structure useless. Few systems have been developed that...
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Relevance feedback is an attractive approach to developing flexible metrics for content-based retrieval in image and video databases. Large image databases require an index structure in order to reduce nearest neighbor computation. However, flexible metrics can alter an input space in a highly nonlinear fashion, thereby rendering the index structure useless. Few systems have been developed that...
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ژورنال
عنوان ژورنال: IEEJ Transactions on Electronics, Information and Systems
سال: 2006
ISSN: 0385-4221,1348-8155
DOI: 10.1541/ieejeiss.126.395