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- W2372237561 abstract "Begin with the machine vision development process,the concept of face detection is introduced at first.Then,after the introduction of AdaBoost algorithm is given.The calculation of points chart,eigenvalues and the strong classifier specific training process are described in detail.After the scientific analysis of the efficiency in the training,the article focused on reducing error rates based on the contribution of feature selection methods to reduce the rubbish features of the system resource consumption and adverse effects.Finally,the experimental results of face detection and a conclusion were reached." @default.
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- W2372237561 date "2010-01-01" @default.
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- W2372237561 title "Feature Selection Method in Face Detection Based on AdaBoost Algorithm" @default.
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