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Face detection by aggregated Bayesian network classifiers
DOI:10.1016/S0167-8655(01)00177-5.png)
Abstract
En 中文
A face detection system is presented. A new classification method using forest-structured Bayesian networks is used. The method is used in an aggregated classifier to discriminate face from non-face patterns. The process of generating non-face patterns is integrated with the construction of the aggregated classifier. The face detection system performs well in comparison with other well-known methods. (C) 2002 Elsevier Science B.V. All rights reserved.
Keywords:
face detection
aggregated classifiers
Bayesian network classifier
optimum branching
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