Abstract
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 using the bagging method. The face detection system performs well in comparison with other well-known methods.
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© 2001 Springer-Verlag Berlin Heidelberg
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Pham, T.V., Worring, M., Smeulders, A.W.M. (2001). Face Detection by Aggregated Bayesian Network Classifiers. In: Perner, P. (eds) Machine Learning and Data Mining in Pattern Recognition. MLDM 2001. Lecture Notes in Computer Science(), vol 2123. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-44596-X_21
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DOI: https://doi.org/10.1007/3-540-44596-X_21
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