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《Journal of Naval University of Engineering》 2008-06
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Multi-view target recognition based on Floatboost

GUO Wei,GENG Bo-ying(College of Electronic Engineering,Naval Univ.of Engineering,Wuhan 430033, China)  
A new method for node multi-view series classifiers was proposed based on Floatboost by independent component analysis(ICA) used for image feature extracting,combining with tri-node decision trees and the preliminary rough angle classifier.The comparision was made between the presented method and others.The result shows that the method of multi-view target recognition based on Floatboost for resolving the multi-view problem can satisfy the requirement of the real time system.
【Fund】: 国家部委基金资助项目(10104010103)
【CateGory Index】: TP391.41
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