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Volumn , Issue , 2014, Pages 604-611

Unsupervised spectral dual assignment clustering of human actions in context

Author keywords

Human Action Analysis; Unsupervised Learning; Video Clustering

Indexed keywords

CLUSTER ANALYSIS; PATTERN RECOGNITION; UNSUPERVISED LEARNING;

EID: 84911368077     PISSN: 10636919     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/CVPR.2014.84     Document Type: Conference Paper
Times cited : (44)

References (14)
  • 2
    • 84873124076 scopus 로고    scopus 로고
    • Generation of alternative clusterings using the cami approach
    • X. H. Dang and J. Bailey. Generation of alternative clusterings using the cami approach. In SIAM Int. Conf. Data Mining, pages 118-129, 2010.
    • (2010) SIAM Int. Conf. Data Mining , pp. 118-129
    • Dang, X.H.1    Bailey, J.2
  • 3
    • 78149348487 scopus 로고    scopus 로고
    • Object, scene and actions: Combining multiple features for human action recognition
    • N. Ikizler-Cinbis and S. Sclaroff. Object, scene and actions: combining multiple features for human action recognition. In Proc. European Conf. Comput. Vision, pages 494-507, 2010.
    • (2010) Proc. European Conf. Comput. Vision , pp. 494-507
    • Ikizler-Cinbis, N.1    Sclaroff, S.2
  • 4
    • 80053441153 scopus 로고    scopus 로고
    • A co-training approach for multi-view spectral clustering
    • A. Kumar and H. Daume III. A co-training approach for multi-view spectral clustering. In Proc. Int. Conf. Mach. Learning, pages 393-400, 2011.
    • (2011) Proc. Int. Conf. Mach. Learning , pp. 393-400
    • Kumar, A.1    Daume, H.2
  • 6
    • 3042535216 scopus 로고    scopus 로고
    • Distinctive image features from scale-invariant keypoints
    • D. G. Lowe. Distinctive Image Features from Scale-Invariant Keypoints. Int. J. Comput. Vision, 60:91-110, 2004.
    • (2004) Int. J. Comput. Vision , vol.60 , pp. 91-110
    • Lowe, D.G.1
  • 9
    • 45049084813 scopus 로고    scopus 로고
    • Unsupervised learning of human action categories using spatial-temporal words
    • Mar.
    • J. C. Niebles, H. Wang, and L. Fei-Fei. Unsupervised Learning of Human Action Categories Using Spatial-Temporal Words. Int. J. Comput. Vision, 79(3):299-318, Mar. 2008.
    • (2008) Int. J. Comput. Vision , vol.79 , Issue.3 , pp. 299-318
    • Niebles, J.C.1    Wang, H.2    Fei-Fei, L.3
  • 10
    • 84856142160 scopus 로고    scopus 로고
    • Weakly supervised learning of interactions between humans and objects
    • A. Prest, C. Schmid, and V. Ferrari. Weakly supervised learning of interactions between humans and objects. IEEE Trans. Pattern Anal. Mach. Intell., 34(3):601-614, 2012.
    • (2012) IEEE Trans. Pattern Anal. Mach. Intell. , vol.34 , Issue.3 , pp. 601-614
    • Prest, A.1    Schmid, C.2    Ferrari, V.3
  • 14
    • 84878144777 scopus 로고    scopus 로고
    • Discovering motion primitives for unsupervised grouping and one-shot learning of human actions, gestures, and expressions
    • Y. Yang, I. Saleemi, and M. Shah. Discovering motion primitives for unsupervised grouping and one-shot learning of human actions, gestures, and expressions. IEEE Trans. Pattern Anal. Mach. Intell., 35(7):1635-1648, 2013.
    • (2013) IEEE Trans. Pattern Anal. Mach. Intell. , vol.35 , Issue.7 , pp. 1635-1648
    • Yang, Y.1    Saleemi, I.2    Shah, M.3


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.