메뉴 건너뛰기




Volumn 3, Issue , 2014, Pages 1760-1766

Learning with augmented class by exploiting unlabeled data

Author keywords

[No Author keywords available]

Indexed keywords

UNLABELED DATA;

EID: 84908179571     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper
Times cited : (98)

References (34)
  • 2
    • 42249094907 scopus 로고    scopus 로고
    • Support vector machine solvers
    • Bottou, L.; Chapelle, O.; De Coste, D.; and Weston, J., eds., Cambridge, MA: MIT Press
    • Bottou, L., and Lin, C.-J. 2007. Support vector machine solvers. In Bottou, L.; Chapelle, O.; De Coste, D.; and Weston, J., eds., Large Scale Kernel Machines. Cambridge, MA: MIT Press. 301-320.
    • (2007) Large Scale Kernel Machines , pp. 301-320
    • Bottou, L.1    Lin, C.-J.2
  • 7
    • 0014710323 scopus 로고
    • On optimum recognition error and reject tradeoff
    • Chow, C. 1970. On optimum recognition error and reject tradeoff. IEEE Trans. Information Theory 16(1):41-46.
    • (1970) IEEE Trans. Information Theory , vol.16 , Issue.1 , pp. 41-46
    • Chow, C.1
  • 9
    • 34047174674 scopus 로고    scopus 로고
    • Learning generative visual models from few training examples: An incremental bayesian approach tested on 101 object categories
    • Fei-Fei, L.; Fergus, R.; and Perona, P. 2007. Learning generative visual models from few training examples: An incremental bayesian approach tested on 101 object categories. Computer Vision and Image Understanding 106(1):59-70.
    • (2007) Computer Vision and Image Understanding , vol.106 , Issue.1 , pp. 59-70
    • Fei-Fei, L.1    Fergus, R.2    Perona, P.3
  • 10
    • 0141921552 scopus 로고    scopus 로고
    • Online ensemble learning: An empirical study
    • Fern, A., and Givan, R. 2003. Online ensemble learning: An empirical study. Machine Learning 53(1-2):71-109.
    • (2003) Machine Learning , vol.53 , Issue.1-2 , pp. 71-109
    • Fern, A.1    Givan, R.2
  • 12
    • 7544223741 scopus 로고    scopus 로고
    • A survey of outlier detection methodologies
    • Hodge, V. J., and Austin, J. 2004. A survey of outlier detection methodologies. Artificial Intelligence Review 22(2):85-126.
    • (2004) Artificial Intelligence Review , vol.22 , Issue.2 , pp. 85-126
    • Hodge, V.J.1    Austin, J.2
  • 13
    • 84871822277 scopus 로고    scopus 로고
    • Finding rare classes: Active learning with generative and discriminative models
    • Hospedales, T. M.; Gong, S.; and Xiang, T. 2013. Finding rare classes: Active learning with generative and discriminative models. IEEE Trans. Knowledge and Data Engineering 25(2):374-386.
    • (2013) IEEE Trans. Knowledge and Data Engineering , vol.25 , Issue.2 , pp. 374-386
    • Hospedales, T.M.1    Gong, S.2    Xiang, T.3
  • 19
    • 58649083899 scopus 로고    scopus 로고
    • Learn++ nc: Combining ensemble of classifiers with dynamically weighted consult-and-vote for efficient incremental learning of new classes
    • Muhlbaier, M.; Topalis, A.; and Polikar, R. 2009. Learn++ nc: Combining ensemble of classifiers with dynamically weighted consult-and-vote for efficient incremental learning of new classes. IEEE Trans. Neural Networks 20(1):152-168.
    • (2009) IEEE Trans. Neural Networks , vol.20 , Issue.1 , pp. 152-168
    • Muhlbaier, M.1    Topalis, A.2    Polikar, R.3
  • 21
    • 77956507103 scopus 로고    scopus 로고
    • Evaluation methods in face recognition
    • Li, S. Z., and Jain, A. K., eds., New York: Springer
    • Phillips, P. J.; Grother, P.; and Micheals, R. 2011. Evaluation methods in face recognition. In Li, S. Z., and Jain, A. K., eds., Handbook of Face Recognition. New York: Springer. 329-348.
    • (2011) Handbook of Face Recognition , pp. 329-348
    • Phillips, P.J.1    Grother, P.2    Micheals, R.3
  • 30
    • 76749095443 scopus 로고    scopus 로고
    • Classification methods with reject option based on convex risk minimization
    • Yuan, M., and Wegkamp, M. 2010. Classification methods with reject option based on convex risk minimization. Journal of Machine Learning Research 11:111-130.
    • (2010) Journal of Machine Learning Research , vol.11 , pp. 111-130
    • Yuan, M.1    Wegkamp, M.2
  • 31
    • 0037686659 scopus 로고    scopus 로고
    • The concave-convex procedure
    • Yuille, A. L., and Rangarajan, A. 2003. The concave-convex procedure. Neural Computation 15(4):915-936.
    • (2003) Neural Computation , vol.15 , Issue.4 , pp. 915-936
    • Yuille, A.L.1    Rangarajan, A.2
  • 33
    • 77956708689 scopus 로고    scopus 로고
    • Semi-supervised learning by disagreement
    • Zhou, Z.-H., and Li, M. 2010. Semi-supervised learning by disagreement. Knowledge and Information Systems 24(3):415-439.
    • (2010) Knowledge and Information Systems , vol.24 , Issue.3 , pp. 415-439
    • Zhou, Z.-H.1    Li, M.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.