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Volumn , Issue , 2011, Pages 33-36

Automatic target recognition using discriminative graphical models

Author keywords

[No Author keywords available]

Indexed keywords

FIRST-STAGE DESIGN; GRAPHICAL MODEL; INDIVIDUAL CLASSIFIERS; MULTIPLE CLASSIFIERS; MULTIPLE PROJECTIONS; PROBABILISTIC GRAPHICAL MODELS; RECOGNITION RATES; SINGLE DECISION; SPARSE REPRESENTATION; SPARSE SIGNAL REPRESENTATION; STAGE MODELS; STATE OF THE ART; SYNTHETIC APERTURE RADAR IMAGERY; TARGET CLASSIFICATION; TARGET RECOGNITION; TWO STAGE;

EID: 84856288217     PISSN: 15224880     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICIP.2011.6116440     Document Type: Conference Paper
Times cited : (12)

References (16)
  • 1
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  • 5
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    • Artificial neural networks for automatic target recognition
    • Dec
    • C. E. Daniell, D. H. Kemsley, W. P. Lincoln, W. A. Tackett, and G. A. Baraghimian, "Artificial neural networks for automatic target recognition," Opt. Eng., vol. 31, no. 12, pp. 2521-2531, Dec 1992.
    • (1992) Opt. Eng. , vol.31 , Issue.12 , pp. 2521-2531
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  • 6
    • 0035300682 scopus 로고    scopus 로고
    • Support vector machines for SAR automatic target recognition
    • DOI 10.1109/7.937475
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    • (2001) IEEE Transactions on Aerospace and Electronic Systems , vol.37 , Issue.2 , pp. 643-654
    • Zhao, Q.1    Principe, J.C.2
  • 10
    • 33750383209 scopus 로고    scopus 로고
    • K-SVD: An algorithm for designing overcomplete dictionaries for sparse representation
    • DOI 10.1109/TSP.2006.881199
    • M. Aharon, M. Elad, and A. Bruckstein, "K-SVD: An algorithm for designing overcomplete dictionaries for sparse representation," IEEE Trans. Signal Processing, vol. 54, no. 11, pp. 4311-4322, Nov 2006. (Pubitemid 44637761)
    • (2006) IEEE Transactions on Signal Processing , vol.54 , Issue.11 , pp. 4311-4322
    • Aharon, M.1    Elad, M.2    Bruckstein, A.3
  • 11
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    • Learning graphical models for hypothesis testing and classification
    • Nov
    • V. Y. F. Tan, S. Sanghavi, J. W. Fisher III, and A. S. Willsky, "Learning graphical models for hypothesis testing and classification," IEEE Trans. Signal Processing, vol. 58, no. 11, pp. 5481-5495, Nov 2010.
    • (2010) IEEE Trans. Signal Processing , vol.58 , Issue.11 , pp. 5481-5495
    • Tan, V.Y.F.1    Sanghavi, S.2    Fisher III, J.W.3    Willsky, A.S.4
  • 12
    • 84933530882 scopus 로고
    • Approximating discrete probability distributions with dependence trees
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    • Chow, C.K.1    Liu, C.N.2
  • 15
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    • Compressed sensing
    • Apr
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    • Donoho, D.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.