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Volumn , Issue , 2014, Pages 482-491

Large-scale adaptive semi-supervised learning via unified inductive and transductive model

Author keywords

large scale semi supervised learning; semi supervised learning; unified inductive and transductive model

Indexed keywords


EID: 84907033759     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1145/2623330.2623731     Document Type: Conference Paper
Times cited : (45)

References (21)
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    • A general graph-based semi-supervised learning with novel class discovery
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  • 8
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    • Flexible manifold embedding: A framework for semi-supervised and unsupervised dimension reduction
    • F. Nie, D. Xu, I. W.-H. Tsang, and C. Zhang. Flexible manifold embedding: A framework for semi-supervised and unsupervised dimension reduction. Image Processing, IEEE Transactions on, 19(7):1921-1932, 2010.
    • (2010) Image Processing, IEEE Transactions on , vol.19 , Issue.7 , pp. 1921-1932
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  • 9
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    • Wang, H.1    Ding, C.2    Huang, H.3
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    • Image annotation using multi-label correlated green's function
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    • Springer
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* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.