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CAS IR Grid
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长春光学精密机械与物... [1]
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OAI收割 [1]
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会议论文 [1]
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2011 [1]
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Design for target classifier based on semi-supervised learning (EI CONFERENCE)
会议论文
OAI收割
2011 International Conference on Electric Information and Control Engineering, ICEICE 2011, April 15, 2011 - April 17, 2011, Wuhan, China
Jiangrui K.
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提交时间:2013/03/25
The target classifier is an ingredient of the target recognition system. In order to achieve the automation and computerization of target recognition
a method for training target classifier based on semi-supervised learning is provided. It adopts CFS algorithm for dada feature selection
and uses semi-supervised learning algorithm
Co-training to construct the target classifiers. The final classifier was produced through integration learning method. Experimental results show that the performance of the target classifier based on semi-supervised learning trained is superior to the traditional target classifier. 2011 IEEE.