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Volumn , Issue , 2011, Pages 1548-1553

Transductive transfer learning for action recognition in tennis games

Author keywords

[No Author keywords available]

Indexed keywords

ACTION RECOGNITION; APPLICATION SCENARIO; CLASSIFICATION SYSTEM; PERFORMANCE IMPROVEMENTS; TEST DATA IN; TRANSFER LEARNING; VIDEO ANNOTATIONS;

EID: 84856675299     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICCVW.2011.6130434     Document Type: Conference Paper
Times cited : (31)

References (24)
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    • Dai, W.1    Chen, Y.2    Rong, X.3    Yang, Q.4    Yu, Y.5
  • 10
    • 84455202170 scopus 로고    scopus 로고
    • Histograms of oriented gradients for human detection
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    • Dalal, N.1    Triggs, B.2
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    • 0029288633 scopus 로고
    • Maximum likelihood linear regression for speaker adaptation of continuous density hidden Markov models
    • C. J. Leggetter and P. C. Woodland. Maximum likelihood linear regression for speaker adaptation of continuous density hidden Markov models. Computer Speech & Language, 9:171-185, 1995.
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    • Leggetter, C.J.1    Woodland, P.C.2
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    • January
    • D. G. Lowe. Distinctive image features from scale-invariant keypoints. Int fournal of Computer Vision, January 2004.
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    • Lowe, D.G.1
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    • A 3-dimensional sift descriptor and its application to action recognition
    • Augsburg, Germany, September 23-28
    • P. Scovanner, S. Ali, and M. Shah. A 3-dimensional sift descriptor and its application to action recognition. In Proc of the ACM Multimedia, Augsburg, Germany, September 23-28 2007.
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    • Scovanner, P.1    Ali, S.2    Shah, M.3
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    • Improving environmental robustness in large vocabulary speech recognition. Acoustics, Speech, and Signal Processing
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    • Layered data association using graph-theoretic formulation with application to tennis ball tracking in monocular sequences
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* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.