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- W2992940918 abstract "Relevance feedback technique has been an important approach in image retrieval.Because of including human's participation,it can reparation the disadvantage that the basic features of image cannot represent its semantic content well.The algorithm constructs a Non-negative Matrix Factorization basic matrix,which can be used to find more relevant images in the whole image database.A novel relevance feedback algorithm is presented based on projected gradient methods for NMF.Compared with the popular multiplicative update approach for NMF,in the assurance of Precision ratio and Recall ratio,it can improve the speed of the retrieval.Experiments were carried out on a big size database of 586 cerebral hemorrhage images,it shows the feasibility of this method." @default.
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- W2992940918 date "2011-01-01" @default.
- W2992940918 modified "2023-09-26" @default.
- W2992940918 title "Projected gradient methods for Non-negative Matrix Factorization based relevance feedback algorithm in medical image retrieval" @default.
- W2992940918 hasPublicationYear "2011" @default.
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