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Volumn 66, Issue , 2014, Pages 126-135

Supervised locality discriminant manifold learning for head pose estimation

Author keywords

Graph construction; Head pose estimation; Locality discriminant regularization; Manifold learning; Supervised learning

Indexed keywords

GEOMETRY; IMAGE RECOGNITION; SUPERVISED LEARNING;

EID: 84902373158     PISSN: 09507051     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.knosys.2014.04.028     Document Type: Article
Times cited : (12)

References (19)
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  • 3
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    • A global geometric framework for nonlinear dimensionality reduction
    • J. Tenenbaum, V. Silva, and J. Langford A global geometric framework for nonlinear dimensionality reduction Science 290 2000 2319 2323
    • (2000) Science , vol.290 , pp. 2319-2323
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  • 4
    • 0042378381 scopus 로고    scopus 로고
    • Laplacian eigenmaps for dimensionality reduction and data representation
    • M. Belkin, and P. Niyogi Laplacian eigenmaps for dimensionality reduction and data representation J. Neural Comput. 15 2003 1373 1396
    • (2003) J. Neural Comput. , vol.15 , pp. 1373-1396
    • Belkin, M.1    Niyogi, P.2
  • 5
    • 2342517502 scopus 로고    scopus 로고
    • Think globally, fit locally: Unsupervised learning of low dimensional manifolds
    • K.S. Lawrence, and T.R. Sam Think globally, fit locally: unsupervised learning of low dimensional manifolds J. Mach. Learn. Res. 4 2003 119 155
    • (2003) J. Mach. Learn. Res. , vol.4 , pp. 119-155
    • Lawrence, K.S.1    Sam, T.R.2
  • 11
    • 33947194180 scopus 로고    scopus 로고
    • Graph embedding and extensions: A general framework for dimensionality reduction
    • S. Yan, D. Xu, B. Zhang, and H. Zhang Graph embedding and extensions: a general framework for dimensionality reduction IEEE Trans. Pattern Anal. Mach. Intell. 29 2007 40 51
    • (2007) IEEE Trans. Pattern Anal. Mach. Intell. , vol.29 , pp. 40-51
    • Yan, S.1    Xu, D.2    Zhang, B.3    Zhang, H.4
  • 13
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    • Discrimininatively regularized least-square classification
    • X. He, S. Chen, Q. Yang, and H. Zhang Discrimininatively regularized least-square classification Pattern Recogn. 42 1 2009 93 104
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    • He, X.1    Chen, S.2    Yang, Q.3    Zhang, H.4
  • 18
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    • Manifold regularization: A geometric framework for learning from labeled and unlabeled examples
    • M. Belkin, P. Niyogi, and V. Sindhwani Manifold regularization: a geometric framework for learning from labeled and unlabeled examples J. Mach. Learn. Res. 7 2006 2399 2434
    • (2006) J. Mach. Learn. Res. , vol.7 , pp. 2399-2434
    • Belkin, M.1    Niyogi, P.2    Sindhwani, V.3


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.