Relevance Feedback in Cbir Using the Rls Classifier
نویسندگان
چکیده
The Relevance Feedback has been used to improve the performance of CBIR algorithms. This paper presents a relevance feedback method based on the regularized least squares classifier, and a technique to select feedback information in order to increase the learning rate. Experimental results are presented in the paper to illustrate the performance of the proposed relevance feedback method.
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تاریخ انتشار 2005