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Volumn , Issue , 2009, Pages 2583-2590

Automated extraction of signs from continuous sign language sentences using iterated conditional modes

Author keywords

[No Author keywords available]

Indexed keywords

COMPUTER VISION;

EID: 70450186189     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/CVPRW.2009.5206599     Document Type: Conference Paper
Times cited : (23)

References (25)
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    • Chib, S.1    Greenberg, E.2
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    • Learning recurrent behaviors from heterogeneous multivariate time-series
    • F. Duchne, C. Garbay, and V. Rialle. Learning recurrent behaviors from heterogeneous multivariate time-series. Arificial Intelligence in Medicine, (1):25-47, 2007.
    • (2007) Arificial Intelligence in Medicine , Issue.1 , pp. 25-47
    • Duchne, F.1    Garbay, C.2    Rialle, V.3
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    • 0027912333 scopus 로고
    • Detecting subtle sequence signals: A Gibbs sampling strategy for multiple alignment
    • C. Lawrence, S. F. Altschul, M. S. Boguski, J. S. Liu, A. F. Neuwald, and J. C. Wootton. Detecting subtle sequence signals: A Gibbs sampling strategy for multiple alignment. Science, 262:208-214, 1993.
    • (1993) Science , vol.262 , pp. 208-214
    • Lawrence, C.1    Altschul, S.F.2    Boguski, M.S.3    Liu, J.S.4    Neuwald, A.F.5    Wootton, J.C.6
  • 15
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    • American Sign Language: The phonological base
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    • Liddell, S.1    Johnson, R.2
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    • 36348977475 scopus 로고    scopus 로고
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    • Minnen, D.1    Isbell, C.2    Essa, I.3    Starner, T.4
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    • Real-time American Sign Language recognition from video using Hidden Markov Models
    • T. Starner and A. Pentland. Real-time American Sign Language recognition from video using Hidden Markov Models. Computational Imaging and Vision, 9:227244, 1997.
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    • Parallel Hidden Markov Models for American Sign Language Recognition
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* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.