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Volumn 37, Issue 5, 2008, Pages 897-900

Infrared target recognition based on regularized Adaboost algorithm

Author keywords

Adaboost; Infrared target recognition; Regularized

Indexed keywords

ADABOOST; ADABOOST ALGORITHM; CLASSIFICATION ALGORITHM; EFFECTIVE ALGORITHMS; FEATURE SPACE; HIGH NOISE; INFRARED IMAGES; INFRARED TARGET; INFRARED TARGET RECOGNITION; OVERFITTING; REGULARIZED; TARGET RECOGNITION; TRAINING MODEL;

EID: 58149151232     PISSN: 10072276     EISSN: None     Source Type: Journal    
DOI: None     Document Type: Article
Times cited : (3)

References (12)
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    • (2007) Infrared and Laser Engineering , vol.36 , Issue.4 , pp. 534-538
    • LING, J.-G.1    LIU, E.-Q.2    LIANG, H.-Y.3
  • 5
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  • 6
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    • CASASENT D,WANG Y C.Automatic target recognition using new support vector machine [C]// Proc Int Joint Conf on Neural Network,2005,1(1):84- 89.
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    • SUN Y J,LI J,HAGER W.Two new regularized AdaBoost algorithms[C]//Proc Int Conf Mach Learn Appl, 2004:41-48.
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    • FENG Chun -huan.TU Jian -ping,GUO Jian.Infrared targets recognition algorithm based on discrete cosine transformation [J] Journal of System Simulation, 2005, 17(6):1363-1365.
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* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.