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- W2391786712 abstract "In the small size of training samples,the recognition rate of Collaborative Representation( CR) often cannot reach the established expectations. To this end,a construction method of optimal coding dictionary for CR is proposed to improve the classification ability of CR. First,exploit original training samples per subject to produce pseudo training samples. Then,these original training samples and produced pseudo training samples are mixed together to form the original coding dictionary. Finally,the optimal coding dictionary is selected by using the similarity between the test sample and atoms in the original coding dictionary. Experimental results on three widely used face databases show that the proposed method obtains better recognition rate,about 4% ~ 18% higher than the CR method. Moreover,compared with some other similar methods,the proposed method also gets the good recognition rate." @default.
- W2391786712 created "2016-06-24" @default.
- W2391786712 creator A5001337105 @default.
- W2391786712 date "2014-01-01" @default.
- W2391786712 modified "2023-09-25" @default.
- W2391786712 title "A Construction Method of Optimal Coding Dictionary for Collaborative Representation" @default.
- W2391786712 hasPublicationYear "2014" @default.
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