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Volumn , Issue , 2013, Pages 1218-1221

Multiple kernel active learning for robust geo-spatial image analysis

Author keywords

active learning; data fusion; multiple kernel learning

Indexed keywords


EID: 84894242577     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/IGARSS.2013.6722999     Document Type: Conference Paper
Times cited : (4)

References (10)
  • 4
    • 0042868698 scopus 로고    scopus 로고
    • Support vector machine active learning with applications to text classification
    • S. Tong and D. Koller, "Support vector machine active learning with applications to text classification," The Journal of Machine Learning Research, vol. 2, pp. 45-66, 2002.
    • (2002) The Journal of Machine Learning Research , vol.2 , pp. 45-66
    • Tong, S.1    Koller, D.2
  • 6
    • 77957001686 scopus 로고    scopus 로고
    • Learning relevant image features with multiple-kernel classification
    • D. Tuia and G. Camps-Valls, "Learning relevant image features with multiple-kernel classification," IEEE Transactions on Geoscience and Remote Sensing, vol. 48, no. 10, pp. 3780-3791, 2010.
    • (2010) IEEE Transactions on Geoscience and Remote Sensing , vol.48 , Issue.10 , pp. 3780-3791
    • Tuia, D.1    Camps-Valls, G.2
  • 8
    • 80052740627 scopus 로고    scopus 로고
    • A spatialspectral kernel based approach for the classification of remote sensing images
    • M. Fauvel, J. Chanussot, and J. A. Benediktsson, "A spatialspectral kernel based approach for the classification of remote sensing images," Pattern Recognition, vol. 45, no. 1, pp. 281-392, 2011.
    • (2011) Pattern Recognition , vol.45 , Issue.1 , pp. 281-392
    • Fauvel, M.1    Chanussot, J.2    Benediktsson, J.A.3


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.