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New face recognition algorithm based on probabilistic latent semantic analysis


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New face recognition algorithm based on probabilistic latent semantic analysis
Zou Xiuming 12Sun Huaijiang 1Yang Sai 3
1.School of Computer Science and Engineering,Nanjing University of Science and Technology,Nanjing 210094,China; 2.School of Computer Science and Technology,Huaiyin Normal University,Huaian 223300,China; 3.School of Electrical Engineering,Nantong Univers
face recognition probabilistic latent semantic analysis bag-of-word models
A new face recognition algorithm based on the probabilistic latent semantic analysis(PLSA)is proposed.Firstly the bag-of-word model of the face image is contructed.Then the PLSA model is used to get the distribution of the bag-of -word model in the latent topic space as the final semantic features of the face image.Lastly images are classified and recognized by the support vector machine(SVM).Experimental results on the multi-PIE and the face recognition grand challenge(FRGC)datasets show that the method gets higher classification accuracies than the current methods for the face recognition.


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Last Update: 2016-10-30