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Volumn , Issue , 2012, Pages 150-153

A SVM approach for vessel fire detection based on image processing

Author keywords

SMO algorithm; SVM; Vessel Fire Detection

Indexed keywords

CONVERGENCE RATES; FIRE DETECTION; FIRE EXPERIMENTS; INTERFERENCE SOURCES; RBF KERNELS; SHAPE FEATURES; SMO ALGORITHMS; STRUCTURE RISK MINIMIZATION PRINCIPLES; SVM; TRAINING SETS;

EID: 84866891053     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper
Times cited : (15)

References (9)
  • 2
    • 41149118379 scopus 로고    scopus 로고
    • Development of early tunnel fire detection algorithm using the image processing
    • D. Han, B. Lee. Development of early tunnel fire detection algorithm using the image processing, Int. Symp. Visual Comput. (2006) 39-48.
    • (2006) Int. Symp. Visual Comput. , pp. 39-48
    • Han, D.1    Lee, B.2
  • 3
    • 79951630650 scopus 로고    scopus 로고
    • Fire detection in video[J]
    • Zhenhua WANG, Huiqin WANG, Yanni WANG, et al. Fire detection in video[J]. World Sci-Tech R&D, 2008, 30(2): 161-164
    • (2008) World Sci-tech R&D , vol.30 , Issue.2 , pp. 161-164
    • Wang, Z.1    Wang, H.2    Wang, Y.3
  • 4
    • 77954401487 scopus 로고    scopus 로고
    • Application of artificial neural network in the fire detection of naval vessel
    • December
    • S. Wu, H. LiI, Application of Artificial Neural Network in the Fire Detection of Naval Vessel. Chinese Journal of Ship Research, vol. 2, pp. 55-58, December, 2007.
    • (2007) Chinese Journal of Ship Research , vol.2 , pp. 55-58
    • Wu, S.1    Lii, H.2
  • 5
    • 84866886702 scopus 로고    scopus 로고
    • Study on neural network method of fire image detection[J]
    • Xiaojun XU, Jian ZHEN, Shangfen GUO. Study on neural network method of fire image detection[J]. Computer Engineering and Design, 2008, 29(13): 3416-3418
    • (2008) Computer Engineering and Design , vol.29 , Issue.13 , pp. 3416-3418
    • Xu, X.1    Zhen, J.2    Guo, S.3
  • 8
    • 0003120218 scopus 로고    scopus 로고
    • Training of support vector machines using sequential minimal optimization [A]
    • MIT press
    • John C. Platt. Training of Support Vector Machines Using Sequential Minimal Optimization [A]. Advances in kernel Method-Support Vector Learning[C]. MIT press, 1999.
    • (1999) Advances in Kernel Method-support Vector Learning[C]
    • Platt, J.C.1
  • 9
    • 84898983292 scopus 로고    scopus 로고
    • Using analytic QP and sparseness to speed training of support vector machines [A]
    • MIT Press
    • John C. Platt. Using Analytic QP and Sparseness to Speed Training of Support Vector Machines [A]. Advances in Neural Information Processing Systems 11[C]. MIT Press, 1999.
    • (1999) Advances in Neural Information Processing Systems 11[C]
    • Platt, J.C.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.