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Volumn , Issue , 2013, Pages 4307-4311

Multimodal semi-supervised image classification by combining tag refinement, graph-based learning and support vector regression

Author keywords

Graph based semi supervised learning; Support vector regression; Tag refinement

Indexed keywords

GRAPHIC METHODS; IMAGE CLASSIFICATION; SEARCH ENGINES; SEMI-SUPERVISED LEARNING; VECTORS; WEBSITES;

EID: 84897795371     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICIP.2013.6738887     Document Type: Conference Paper
Times cited : (2)

References (11)
  • 3
    • 33745456231 scopus 로고    scopus 로고
    • Tech. Rep. 1530, Computer Sciences, University of Wisconsin-Madison
    • X. Zhu, "Semi-supervised learning literature survey," Tech. Rep. 1530, Computer Sciences, University of Wisconsin-Madison, 2005.
    • (2005) Semi-supervised Learning Literature Survey
    • Zhu, X.1
  • 11
    • 84897813241 scopus 로고    scopus 로고
    • Manifold regularized multi-task learning for semi-supervised multi-label image classification
    • Y. Luo, D. Tao, B. Geng, C. Xu, and S. Maybank, "Manifold regularized multi-task learning for semi-supervised multi-label image classification," IEEE Transactions on Image Processing, 2012.
    • (2012) IEEE Transactions on Image Processing
    • Luo, Y.1    Tao, D.2    Geng, B.3    Xu, C.4    Maybank, S.5


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.