Active Learning for Relevance Feedback in Image Retrieval
نویسندگان
چکیده
AbstrAct Relevance.In.Co-SVM algorithm, color and texture are naturally considered as sufficient and.uncorrelated.views.of.an.image..SVM classifier is learned in color and texture feature subspaces, respectively. Then the two classifiers are used to classify the unlabeled data. These unlabeled samples that disagree in the two classifiers are chose to label. The extensive experiments show that the proposed algorithm is beneficial to image retrieval.
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