메뉴 건너뛰기




Volumn , Issue , 2014, Pages 1048-1053

Learning latent structure for activity recognition

Author keywords

[No Author keywords available]

Indexed keywords

GRAPHIC METHODS; PATTERN RECOGNITION; SUPPORT VECTOR MACHINES;

EID: 84929153375     PISSN: 10504729     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICRA.2014.6906983     Document Type: Conference Paper
Times cited : (40)

References (22)
  • 3
    • 84929222337 scopus 로고    scopus 로고
    • Learning spatio-temporal structure from rgb-d videos for human activity detection and anticipation
    • H. Koppula and A. Saxena, "Learning spatio-temporal structure from rgb-d videos for human activity detection and anticipation," International Journal of Robotics Research (IJRR), 2013.
    • (2013) International Journal of Robotics Research (IJRR)
    • Koppula, H.1    Saxena, A.2
  • 21
    • 77956951736 scopus 로고    scopus 로고
    • LibDAI: A free and open source C++ library for discrete approximate inference in graphical models
    • Aug.
    • J. M. Mooij, "libDAI: A free and open source C++ library for discrete approximate inference in graphical models," Journal of Machine Learning Research, vol. 11, pp. 2169-2173, Aug. 2010.
    • (2010) Journal of Machine Learning Research , vol.11 , pp. 2169-2173
    • Mooij, J.M.1
  • 22
    • 69549111057 scopus 로고    scopus 로고
    • Cutting-plane training of structural svms
    • T. Joachims, T. Finley, and C.-N. J. Yu, "Cutting-plane training of structural svms," Machine Learning, vol. 77, no. 1, pp. 27-59, 2009.
    • (2009) Machine Learning , vol.77 , Issue.1 , pp. 27-59
    • Joachims, T.1    Finley, T.2    Yu, C.-N.J.3


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.