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Volumn 6, Issue , 2005, Pages 4311-4314

Applying nonlinear manifold learning to hyperspectral data for land cover classification

Author keywords

[No Author keywords available]

Indexed keywords

SUBSETS; SUPPORT VECTOR MACHINES; USER-DEFINED NEIGHBORHOOD;

EID: 33745698239     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper
Times cited : (52)

References (15)
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    • March
    • 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, March 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
  • 4
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    • Support-vector networks
    • C. Cortes and V. Vapnik, "Support-Vector Networks," Machine Learning, vol. 20, no. 3, pp. 273-297, 1995.
    • (1995) Machine Learning , vol.20 , Issue.3 , pp. 273-297
    • Cortes, C.1    Vapnik, V.2
  • 5
    • 0034704229 scopus 로고    scopus 로고
    • A global geometric framework for nonlinear dimensionality reduction
    • J. B. Tenenbaum, V. de Silva, and J. C. Langford, "A global geometric framework for nonlinear dimensionality reduction," Science, vol. 290, no. 5500, pp. 2319-2323, 2000.
    • (2000) Science , vol.290 , Issue.5500 , pp. 2319-2323
    • Tenenbaum, J.B.1    De Silva, V.2    Langford, J.C.3
  • 6
    • 0034704222 scopus 로고    scopus 로고
    • Nonlinear dimensionality reduction by local linear embedding
    • S. T. Roweis and L. K. Saul, "Nonlinear dimensionality reduction by local linear embedding," Science, vol. 290, no. 5500, pp. 2323-2326, 2000.
    • (2000) Science , vol.290 , Issue.5500 , pp. 2323-2326
    • Roweis, S.T.1    Saul, L.K.2
  • 8
    • 0023854011 scopus 로고
    • A transformation for ordering multispectral data in terms of image quality with implications for noise removal
    • A. A. Green, M. Berman, P. Switzer, and M. D. Craig, "A transformation for ordering multispectral data in terms of image quality with implications for noise removal," IEEE Trans. on Geosci. and Remote Sens., vol. 26, no. 1, pp. 65-74, 1988.
    • (1988) IEEE Trans. on Geosci. and Remote Sens. , vol.26 , Issue.1 , pp. 65-74
    • Green, A.A.1    Berman, M.2    Switzer, P.3    Craig, M.D.4
  • 10
    • 34147120474 scopus 로고
    • Note on two problems in connection with graphs
    • E. W. Dijkstra, "Note on two problems in connection with graphs," Numberische Mathematik, vol. 1, pp. 269-271, 1959.
    • (1959) Numberische Mathematik , vol.1 , pp. 269-271
    • Dijkstra, E.W.1
  • 13
    • 34250297158 scopus 로고
    • Non-metric individual differences multidimensional scaling: Alternating least squares with optimal scaling features
    • Y. Takane, F. W. Young, and J. D. Leeuw, "Non-metric Individual Differences Multidimensional Scaling: Alternating Least Squares with Optimal Scaling Features," Psycometrika, vol. 42, pp. 7-67, 1977.
    • (1977) Psycometrika , vol.42 , pp. 7-67
    • Takane, Y.1    Young, F.W.2    Leeuw, J.D.3
  • 14
    • 84867093907 scopus 로고    scopus 로고
    • A hierarchical multiclassifier system for hyperspectral data analysis
    • pp. 270+
    • S. Kumar, J. Ghosh, and M. M. Crawford, "A Hierarchical Multiclassifier System for Hyperspectral Data Analysis," Lecture Notes in Computer Science, vol. 1857, pp. 270+, 2000.
    • (2000) Lecture Notes in Computer Science , vol.1857
    • Kumar, S.1    Ghosh, J.2    Crawford, M.M.3
  • 15
    • 15944382343 scopus 로고    scopus 로고
    • Integrating support vector machines in a hierarchical output decomposition framework
    • Anchorage, Alaska, Sept. 20-24
    • Y. Chen, M. M. Crawford, and J. Ghosh, "Integrating support vector machines in a hierarchical output decomposition framework," in 2004 International Geosci. and Remote Sens. Symposium, Anchorage, Alaska, Sept. 20-24 2004, pp. 949-953.
    • (2004) 2004 International Geosci. and Remote Sens. Symposium , pp. 949-953
    • Chen, Y.1    Crawford, M.M.2    Ghosh, J.3


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.