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Volumn , Issue , 2013, Pages 647-653

Vector-valued multi-view semi-supervised learning for multi-label image classification

Author keywords

[No Author keywords available]

Indexed keywords

COMPACT SUPPORT; COMPLEMENTARY PROPERTY; MANIFOLD REGULARIZATIONS; MULTIPLE FEATURES; MULTIPLE LABELS; SEMI-SUPERVISED LEARNING; VECTOR-VALUED FUNCTION; VISUAL FEATURE;

EID: 84893379490     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper
Times cited : (52)

References (26)
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  • 2
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    • Distinctive image features from scaleinvariant keypoints
    • Lowe, D. 2004. Distinctive image features from scaleinvariant keypoints. International Journal of Computer Vision 60(2):91-110.
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    • Lowe, D.1
  • 11
    • 84872258670 scopus 로고    scopus 로고
    • Manifold regularized multitask learning for semi-supervised multilabel image classification
    • Luo, Y.; Tao, D.; Geng, B.; Xu, C.; and Maybank, S. 2013. Manifold regularized multitask learning for semi-supervised multilabel image classification. IEEE Transaction on Image Processing 22(2):523-536.
    • (2013) IEEE Transaction on Image Processing , vol.22 , Issue.2 , pp. 523-536
    • Luo, Y.1    Tao, D.2    Geng, B.3    Xu, C.4    Maybank, S.5
  • 12
    • 14544299611 scopus 로고    scopus 로고
    • On learning vectorvalued functions
    • Micchelli, C., and Pontil, M. 2005. On learning vectorvalued functions. Neural Computation 17(1):177-204.
    • (2005) Neural Computation , vol.17 , Issue.1 , pp. 177-204
    • Micchelli, C.1    Pontil, M.2
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    • Modeling the shape of the scene: A holistic representation of the spatial envelope
    • Oliva, A., and Torralba, A. 2001. Modeling the shape of the scene: A holistic representation of the spatial envelope. International Journal of Computer Vision 42(3):145-175.
    • (2001) International Journal of Computer Vision , vol.42 , Issue.3 , pp. 145-175
    • Oliva, A.1    Torralba, A.2
  • 18
    • 80055045397 scopus 로고    scopus 로고
    • A generalised solution to the out-of-sample extension problem in manifold learning
    • Strange, H., and Zwiggelaar, R. 2011. A generalised solution to the out-of-sample extension problem in manifold learning. In AAAI Conference on Artificial Intelligence.
    • (2011) AAAI Conference on Artificial Intelligence
    • Strange, H.1    Zwiggelaar, R.2
  • 19
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    • Canonical correlation analysis for multilabel classification: A least-squares formulation, extensions, and analysis
    • Sun, L.; Ji, S.; and Ye, J. 2011. Canonical correlation analysis for multilabel classification: A least-squares formulation, extensions, and analysis. IEEE Transactions on Pattern Analysis and Machine Intelligence 33(1):194-200.
    • (2011) IEEE Transactions on Pattern Analysis and Machine Intelligence , vol.33 , Issue.1 , pp. 194-200
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* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.