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Volumn , Issue , 2016, Pages

ZooplanktoNet: Deep convolutional network for zooplankton classification

Author keywords

[No Author keywords available]

Indexed keywords

ALGORITHMS; ECOLOGY; ECOSYSTEMS; FEATURE EXTRACTION; OBJECT RECOGNITION;

EID: 84978252677     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/OCEANSAP.2016.7485680     Document Type: Conference Paper
Times cited : (74)

References (18)
  • 2
    • 0032203257 scopus 로고    scopus 로고
    • Gradient-based learning applied to document recognition
    • Y. LeCun, L. Bottou, Y. Bengio, and P. Haffner, "Gradient-based learning applied to document recognition, " Proceedings of the IEEE, vol. 86, no. 11, pp. 2278-2324, 1998.
    • (1998) Proceedings of the IEEE , vol.86 , Issue.11 , pp. 2278-2324
    • LeCun, Y.1    Bottou, L.2    Bengio, Y.3    Haffner, P.4
  • 6
    • 3042783402 scopus 로고    scopus 로고
    • Enumeration, measurement, and identification of net zooplankton samples using the zooscan digital imaging system
    • P. Grosjean, M. Picheral, C. Warembourg, and G. Gorsky, "Enumeration, measurement, and identification of net zooplankton samples using the zooscan digital imaging system, " ICES Journal of Marine Science, vol. 61, no. 4, pp. 518-525, 2004.
    • (2004) ICES Journal of Marine Science , vol.61 , Issue.4 , pp. 518-525
    • Grosjean, P.1    Picheral, M.2    Warembourg, C.3    Gorsky, G.4
  • 8
    • 84963976278 scopus 로고    scopus 로고
    • Quantifying California current plankton samples with efficient machine learning techniques
    • J. Ellen, H. Li, and M. D. Ohman, "Quantifying california current plankton samples with efficient machine learning techniques, " in Proceedings of OCEANS'15 MTS/IEEE Washington, 2015.
    • (2015) Proceedings of OCEANS'15 MTS/IEEE Washington
    • Ellen, J.1    Li, H.2    Ohman, M.D.3


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.