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Volumn 37, Issue 1, 2010, Pages 661-670

Transductive Multi-Instance Multi-Label learning algorithm with application to automatic image annotation

Author keywords

Automatic image annotation; Gaussian mixture model; Manifold ranking; Multi Instance Multi Label learning; Reinforced diverse density algorithm; Transductive learning

Indexed keywords

AUTOMATIC IMAGE ANNOTATION; GAUSSIAN MIXTURE MODEL; MANIFOLD-RANKING; MULTI-INSTANCE MULTI-LABEL LEARNING; REINFORCED DIVERSE DENSITY ALGORITHM; TRANSDUCTIVE LEARNING;

EID: 70349453938     PISSN: 09574174     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.eswa.2009.06.111     Document Type: Article
Times cited : (48)

References (31)
  • 4
    • 84863161940 scopus 로고    scopus 로고
    • Image categorization by learning and reasoning with regions
    • Chen Y., and Wang J. Image categorization by learning and reasoning with regions. Journal of Machine Learning Research 5 (2004) 913-939
    • (2004) Journal of Machine Learning Research , Issue.5 , pp. 913-939
    • Chen, Y.1    Wang, J.2
  • 7
    • 84937572644 scopus 로고    scopus 로고
    • Object recognition as machine translation: Learning a lexicon for a fixed image vocabulary
    • Duygulu, P., Barnard, K., Freitas, N., & Forsyth, D. (2002). Object recognition as machine translation: Learning a lexicon for a fixed image vocabulary. In Proceedings of ECCV (pp. 97-112).
    • (2002) Proceedings of ECCV , pp. 97-112
    • Duygulu, P.1    Barnard, K.2    Freitas, N.3    Forsyth, D.4
  • 8
    • 5044225521 scopus 로고    scopus 로고
    • Multiple Bernoulli relevance models for image and video annotation
    • Feng, S., Manmatha, R., & Lavrenko, V. (2004). Multiple Bernoulli relevance models for image and video annotation. In Proceedings of IEEE CVPR (pp. 1002-1009).
    • (2004) Proceedings of IEEE CVPR , pp. 1002-1009
    • Feng, S.1    Manmatha, R.2    Lavrenko, V.3
  • 10
    • 1542347786 scopus 로고    scopus 로고
    • Automatic image annotation and retrieval using cross-media relevance models
    • Jeon, J., Lavrenko, V., & Manmatha, R. (2003). Automatic image annotation and retrieval using cross-media relevance models. In Proceedings of the ACM SIGIR.
    • (2003) Proceedings of the ACM SIGIR
    • Jeon, J.1    Lavrenko, V.2    Manmatha, R.3
  • 12
    • 33745918661 scopus 로고    scopus 로고
    • A generative/discriminative learning algorithm for image classification
    • Li, Y., Shapiro, L. G., & Bilmes, J. A. (2005). A generative/discriminative learning algorithm for image classification. In Proceedings of IEEE ICCV.
    • (2005) Proceedings of IEEE
    • Li, Y.1    Shapiro, L.G.2    Bilmes, J.A.3
  • 14
    • 53549116749 scopus 로고    scopus 로고
    • Image annotation via graph learning
    • Liu J., Li M., et al. Image annotation via graph learning. Pattern Recognition 42 (2009) 218-228
    • (2009) Pattern Recognition , vol.42 , pp. 218-228
    • Liu, J.1    Li, M.2
  • 15
    • 38349002416 scopus 로고    scopus 로고
    • A graph-based image annotation framework
    • Liu J., Wang B., Lu H., and Ma S. A graph-based image annotation framework. Pattern Recognition Letter 29 4 (2008) 407-415
    • (2008) Pattern Recognition Letter , vol.29 , Issue.4 , pp. 407-415
    • Liu, J.1    Wang, B.2    Lu, H.3    Ma, S.4
  • 19
    • 33750284913 scopus 로고    scopus 로고
    • Incorporating multiple SVMs for automatic image annotation
    • Qi X., and Han Y. Incorporating multiple SVMs for automatic image annotation. Pattern Recognition 40 2 (2007) 728-741
    • (2007) Pattern Recognition , vol.40 , Issue.2 , pp. 728-741
    • Qi, X.1    Han, Y.2
  • 21
    • 0018015137 scopus 로고
    • Modelling by shortest data description
    • Rissanen J. Modelling by shortest data description. Automatica 14 (1978) 465-471
    • (1978) Automatica , vol.14 , pp. 465-471
    • Rissanen, J.1
  • 23
  • 26
    • 80052898759 scopus 로고    scopus 로고
    • Region-based image annotation through multiple-instance learning
    • Singapore
    • Yang, C., Dong, M., & Fotouhi, F. (2005). Region-based image annotation through multiple-instance learning. In Proceedings of ACM multimedia. Singapore.
    • (2005) Proceedings of ACM multimedia
    • Yang, C.1    Dong, M.2    Fotouhi, F.3
  • 28
    • 33947681316 scopus 로고    scopus 로고
    • ML-KNN: A lazy learning approach to multi-label learning
    • Zhang M.L., and Zhou Z.-H. ML-KNN: A lazy learning approach to multi-label learning. Pattern Recognition 40 (2007) 2038-2048
    • (2007) Pattern Recognition , vol.40 , pp. 2038-2048
    • Zhang, M.L.1    Zhou, Z.-H.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.