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Volumn 4881 LNCS, Issue , 2007, Pages 10-16

Different Bayesian network models in the classification of remote sensing images

Author keywords

[No Author keywords available]

Indexed keywords

DATA STRUCTURES; IMAGE ANALYSIS; MATHEMATICAL MODELS; REMOTE SENSING;

EID: 38449103224     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-540-77226-2_2     Document Type: Conference Paper
Times cited : (14)

References (13)
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    • Gurwicz, Y., Lerner, B.: Bayesian class-matched multinet classifier. In: Yeung, D.-Y., Kwok, J.T., Fred, A., Roli, F., de Ridder, D. (eds.) SSPR 2006. LNCS, 4109, pp. 145-153. Springer, Heidelberg (2006)
    • Gurwicz, Y., Lerner, B.: Bayesian class-matched multinet classifier. In: Yeung, D.-Y., Kwok, J.T., Fred, A., Roli, F., de Ridder, D. (eds.) SSPR 2006. LNCS, vol. 4109, pp. 145-153. Springer, Heidelberg (2006)
  • 4
    • 34249832377 scopus 로고
    • A Bayesian method for the induction of probabilistic networks from data
    • Cooper, G.F., Herskovitz, E.: A Bayesian method for the induction of probabilistic networks from data. Machine Learning 9, 309-347 (1992)
    • (1992) Machine Learning , vol.9 , pp. 309-347
    • Cooper, G.F.1    Herskovitz, E.2
  • 5
    • 0003042996 scopus 로고    scopus 로고
    • An algorithm for Bayesian belief network construction from data
    • Cheng, J., Bell, D.A., Liu, W.: An algorithm for Bayesian belief network construction from data. In: Proc. AI & STAT 1997, pp. 83-90 (1997)
    • (1997) Proc. AI & STAT 1997 , pp. 83-90
    • Cheng, J.1    Bell, D.A.2    Liu, W.3
  • 8
    • 84933530882 scopus 로고
    • Approximating discrete probability distributions with dependence trees
    • Chow, C., Liu, C.: Approximating discrete probability distributions with dependence trees. IEEE Trans. Inf. Theory 14(3), 462-467 (1968)
    • (1968) IEEE Trans. Inf. Theory , vol.14 , Issue.3 , pp. 462-467
    • Chow, C.1    Liu, C.2
  • 9
  • 11
    • 38449100239 scopus 로고    scopus 로고
    • Leray, P., Francois, O.: BNT, Structure learning package: documentation and experiments. Technical Report. Laboratoire PSI-INSA Rouen-FRE CNRS 2645 (2004)
    • Leray, P., Francois, O.: BNT, Structure learning package: documentation and experiments. Technical Report. Laboratoire PSI-INSA Rouen-FRE CNRS 2645 (2004)
  • 13
    • 33751564661 scopus 로고    scopus 로고
    • Bayesian multinet classifier for classification of remote sensing data
    • Ouyang, Y., Ma, J., Dai, Q.: Bayesian multinet classifier for classification of remote sensing data. Int. J. of Remote Sensing 27, 4943-4961 (2006)
    • (2006) Int. J. of Remote Sensing , vol.27 , pp. 4943-4961
    • Ouyang, Y.1    Ma, J.2    Dai, Q.3


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.