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- W2380360521 abstract "Independent Component Analysis(ICA) was presented as an efficient face feature extraction method.In order to improve the ability of ICA,a Genetic Algorithm (GA) was used to select optimal Independent Components(ICs) and reconstruct new feature space.Projecting image into new feature space can get the projecting coefficients as its feature.In order to avoid the initial population's asymmetry and make the search more global-oriented,the chaos was applied to the initial population of GA(CGA).Experimental results show that the CGA-ICA method performs better than ICA method." @default.
- W2380360521 created "2016-06-24" @default.
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- W2380360521 date "2007-01-01" @default.
- W2380360521 modified "2023-09-23" @default.
- W2380360521 title "Face feature extraction method based on CGA and ICA" @default.
- W2380360521 hasPublicationYear "2007" @default.
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