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Volumn 1, Issue 1, 2008, Pages

An efficient active learning algorithm with knowledge transfer for hyperspectral data analysis

Author keywords

Active learning; Classification; Hyperspectral data; Knowledge transfer

Indexed keywords

ACTIVE LEARNING; ACTIVE-LEARNING ALGORITHM; CLASSIFICATION; DATA SETS; EMPIRICAL EVALUATIONS; HYPERSPECTRAL DATA; HYPERSPECTRAL DATA ANALYSIS; HYPERSPECTRAL REMOTE SENSING DATA; KNOWLEDGE TRANSFER; LABELED DATA; LEARNING CURVES; SEPARATED REGION; SPECTRAL SIGNATURE;

EID: 67649763976     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/IGARSS.2008.4778790     Document Type: Conference Paper
Times cited : (47)

References (10)
  • 1
    • 41549147912 scopus 로고    scopus 로고
    • An active learning approach to hyperspectral data classification
    • S. Rajan, J. Ghosh, and M. M. Crawford, "An active learning approach to hyperspectral data classification," IEEE Trans. on Geosci. and Remote Sens., vol. 46, no. 4, pp. 1231-1242, 2008.
    • (2008) IEEE Trans. on Geosci. and Remote Sens , vol.46 , Issue.4 , pp. 1231-1242
    • Rajan, S.1    Ghosh, J.2    Crawford, M.M.3
  • 3
    • 0000695404 scopus 로고
    • Information-based objective functions for active data selection
    • D. MacKay, "Information-based objective functions for active data selection," Neural Computation, vol. 4, no. 4, pp. 590-604, 1992.
    • (1992) Neural Computation , vol.4 , Issue.4 , pp. 590-604
    • MacKay, D.1
  • 8
    • 14644421528 scopus 로고    scopus 로고
    • Investigation of the random forest framework for classification of hyperspectral data
    • J. Ham, Y. Chen, M. M. Crawford, and J. Ghosh, "Investigation of the random forest framework for classification of hyperspectral data," IEEE Trans. Geosci. and Remote Sens., vol. 43, no. 3, pp. 492-501, 2005.
    • (2005) IEEE Trans. Geosci. and Remote Sens , vol.43 , Issue.3 , pp. 492-501
    • Ham, J.1    Chen, Y.2    Crawford, M.M.3    Ghosh, J.4
  • 9
    • 0035391738 scopus 로고    scopus 로고
    • Best-bases feature extraction algorithms for classification of hyperspectral data
    • S. Kumar, J. Ghosh, and M. M. Crawford, "Best-bases feature extraction algorithms for classification of hyperspectral data," IEEE Trans. on Geosci. and Remote Sens., vol. 39, no. 7, pp. 1368-1379, 2001.
    • (2001) IEEE Trans. on Geosci. and Remote Sens , vol.39 , Issue.7 , pp. 1368-1379
    • Kumar, S.1    Ghosh, J.2    Crawford, M.M.3
  • 10
    • 0442319140 scopus 로고    scopus 로고
    • Toward optimal active learning through sampling estimation of error reduction
    • Morgan Kaufmann Publishers Inc
    • Nicholas Roy and Andrew McCallum, "Toward optimal active learning through sampling estimation of error reduction," in Proceedings of the 18th International Conference on Machine Learning. 2001, pp. 441-448, Morgan Kaufmann Publishers Inc.
    • (2001) Proceedings of the 18th International Conference on Machine Learning , pp. 441-448
    • Roy, N.1    McCallum, A.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.