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- W2373511714 abstract "Support Vector Data Description(SVDD)is introduced into multiple instance learning.Three multi-instance learning methods based on SVDD are presented,which include Multiple Instance Learning based on SVDD and bag classification(mi-SVDD)or instance classification(MI-SVDD),and Multiple Instance Learning based on SVDD and positive instance prediction(SVDD-MILD-I).Experimental results on MUSK dataset show that precisions of mi-SVDD and MI-SVDD are quite comparable to those of mi-SVM and MI-SVM;SVDD-MILD-I can get highest accuracy among all the methods known so far.Experimental results in the application of content based image retrieval in COREL image collections demonstrate that precision achieved by SVDD-MILD-I is higher than the others.Additionally,SVDD-MILD-I discriminates the misclassification-prone images between Beach and Mountains quite well." @default.
- W2373511714 created "2016-06-24" @default.
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- W2373511714 date "2013-01-01" @default.
- W2373511714 modified "2023-09-23" @default.
- W2373511714 title "Support Vector Data Description Method for Solving Multiple Instance Problems" @default.
- W2373511714 hasPublicationYear "2013" @default.
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