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Volumn 5302 LNCS, Issue PART 1, 2008, Pages 86-98

Towards scalable dataset construction: An active learning approach

Author keywords

[No Author keywords available]

Indexed keywords

SCALABILITY; SEARCH ENGINES;

EID: 57149138153     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-540-88682-2_8     Document Type: Conference Paper
Times cited : (69)

References (24)
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    • Everingham, M., Zisserman. A., Williams, C.K.I., Van Gool, L.: The PASCAL Visual Object Classes Challenge 2006 (VOC2006) Results, http://www.pascal- network.org/challenges/VOC/voc2006/results.pdf
  • 5
    • 39749097861 scopus 로고    scopus 로고
    • From aardvark to zorro: A benchmark for mammal image classification
    • Fiuk, M., Ullman, S.: From aardvark to zorro: A benchmark for mammal image classification. Int. J. Comput. Vision 77, 143-156 (2008)
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    • Fiuk, M.1    Ullman, S.2
  • 8
    • 33745839880 scopus 로고    scopus 로고
    • Fergus, R., Fei-Fei, L., Perona, P., Zisserman, A.: Learning object categories from google's image search. In: Tenth IEEE International Conference on Computer Vision. 2005. ICCV 2005, 17-21 October 2005, 2, pp. 1816-1823 (2005)
    • Fergus, R., Fei-Fei, L., Perona, P., Zisserman, A.: Learning object categories from google's image search. In: Tenth IEEE International Conference on Computer Vision. 2005. ICCV 2005, 17-21 October 2005, vol. 2, pp. 1816-1823 (2005)
  • 13
    • 57149140945 scopus 로고    scopus 로고
    • Torralba, A., Fergus, R., Freeman, W.T.: Tiny images. Technical Report MIT-CSAIL-TR-2007-024, Computer Science and Artificial Intelligence Lab, Massachusetts Institute of Technology (2007)
    • Torralba, A., Fergus, R., Freeman, W.T.: Tiny images. Technical Report MIT-CSAIL-TR-2007-024, Computer Science and Artificial Intelligence Lab, Massachusetts Institute of Technology (2007)
  • 14
    • 57149143005 scopus 로고    scopus 로고
    • Princeton Cognitive Science Laboratory
    • Princeton Cognitive Science Laboratory: Wordnet, http://wordnet. princeton.edu
    • Wordnet
  • 15
    • 0033281701 scopus 로고    scopus 로고
    • Improved boosting algorithms using confidence-rated predictions
    • Schapire, R.E., Singer, Y.: Improved boosting algorithms using confidence-rated predictions. Mach. Learn. 37, 297-336 (1999)
    • (1999) Mach. Learn , vol.37 , pp. 297-336
    • Schapire, R.E.1    Singer, Y.2
  • 16
    • 0037806811 scopus 로고    scopus 로고
    • The boosting approach to machine learning: An overview
    • Hansen, M, Holmes, C, Mallick, B, Yu, B, eds, Springer, Heidelberg
    • Schapire, R.: The boosting approach to machine learning: An overview. In: Hansen, M., Holmes, C., Mallick, B., Yu, B. (eds.) Nonlinear Estimation and Classification. Springer, Heidelberg (2003)
    • (2003) Nonlinear Estimation and Classification
    • Schapire, R.1
  • 17
    • 0344551862 scopus 로고    scopus 로고
    • Yan, R., Yang, J., Hauptmann, A.: Automatically labeling video data using multiclass active learning. In: Eighth IEEE International Conference on Computer Vision. ICCV 2003, 01, p. 516 (2003)
    • Yan, R., Yang, J., Hauptmann, A.: Automatically labeling video data using multiclass active learning. In: Eighth IEEE International Conference on Computer Vision. ICCV 2003, vol. 01, p. 516 (2003)
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    • Semi-automatic visual learning (seville): A tutorial on active learning for visual object recognition
    • Abramson, Y., Freund, Y.: Semi-automatic visual learning (seville): a tutorial on active learning for visual object recognition. In: Computer Vision and Pattern Recognition (2005)
    • (2005) Computer Vision and Pattern Recognition
    • Abramson, Y.1    Freund, Y.2
  • 20
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    • Online bagging and boosting
    • Man and Cybernetics
    • Oza, N.: Online bagging and boosting. In: IEEE International Conference on Systems, Man and Cybernetics, vol. 3, pp. 2340-2345 (2005)
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    • Oza, N.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.