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Volumn , Issue , 2016, Pages 3017-3022

Multi-modal Convolutional Neural Networks for Activity Recognition

Author keywords

Activity recognition; convolutional neural networks; deep learning

Indexed keywords

BENCHMARKING; CYBERNETICS; NEURAL NETWORKS; PATTERN RECOGNITION;

EID: 84964433663     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/SMC.2015.525     Document Type: Conference Paper
Times cited : (171)

References (14)
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    • Activity recognition from user-Annotated acceleration data
    • Springer
    • L. Bao and S. S. Intille, "Activity recognition from user-Annotated acceleration data, " in Pervasive computing. Springer, 2004, pp. 1-17.
    • (2004) Pervasive Computing , pp. 1-17
    • Bao, L.1    Intille, S.S.2
  • 7
    • 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
  • 8
    • 0035271128 scopus 로고    scopus 로고
    • A survey of computer vision-based human motion capture
    • T. B. Moeslund and E. Granum, "A survey of computer vision-based human motion capture, " Computer vision and image understanding, vol. 81, No. 3, pp. 231-268, 2001.
    • (2001) Computer Vision and Image Understanding , vol.81 , Issue.3 , pp. 231-268
    • Moeslund, T.B.1    Granum, E.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.