“School of Cognitive”
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| Paper IPM / Cognitive / 7897 |
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In this paper, an approach that uses a combination of neural network classifiers (CNNC) is applied to human face recognition. We present a divide-and- conquer approach for system composed of several separate networks. Decomposing the complex problem into sub-problems for solving them by a binary base classifier is presented. Each of that learns to recognize a subject of the complete set of training database. Combining the results of sub-problems with max rule accomplished to achieve better performance. The recognition rate of 100
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