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Face detection by aggregated Bayesian network classifiers

delete2002-02-01
delete39
PRE
AI
T
Thang V. Pham
M
Marcel Worring
A
A.W.M. Smeulders
DOI:10.1016/S0167-8655(01)00177-5delete
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Abstract

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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Key information extracted from the uploaded paper, including a brief overview, abstract, background, key highlights, visual analysis, and future outlook.

Journal

Pattern Recognition Letters cover
Pattern Recognition Letters
IF:
3.3
Papers:
8.0K
Citations:
1.6W

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