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Volumn 33, Issue 12, 2000, Pages 2045-2054

Gamma mixture models for target recognition

Author keywords

Automatic target recognition; Discrimination; Gamma distribution; Imprecision; Mixture models; Radar; Reliability

Indexed keywords

ALGORITHMS; MATHEMATICAL MODELS; PARAMETER ESTIMATION; RADAR IMAGING; RADAR MEASUREMENT; RADAR TARGET RECOGNITION;

EID: 0034559506     PISSN: 00313203     EISSN: None     Source Type: Journal    
DOI: 10.1016/S0031-3203(99)00195-8     Document Type: Article
Times cited : (85)

References (11)
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    • X.-L. Meng, D. van Dyk, The EM algorithm - an old folk-song sung to a fast new tune (with discussion), J. R. Statist. Soc. Ser. B 59 (3) (1997) 511-567.
    • (1997) J. R. Statist. Soc. Ser. B , vol.59 , Issue.3 , pp. 511-567
    • Meng, X.-L.1    Van Dyk, D.2
  • 9
    • 51249183273 scopus 로고
    • Multi-sample cluster analysis using Akaike's information criterion
    • H. Bozdogan, S. Sclove, Multi-sample cluster analysis using Akaike's information criterion, Ann. Inst. Statist. Math. 36 (1984) 163-180.
    • (1984) Ann. Inst. Statist. Math. , vol.36 , pp. 163-180
    • Bozdogan, H.1    Sclove, S.2
  • 10
    • 0030351528 scopus 로고    scopus 로고
    • An entropy criterion for assessing the number of clusters in a mixture model
    • G. Celeux, G. Soromenho, An entropy criterion for assessing the number of clusters in a mixture model, J. Classification 13 (1996) 195-212.
    • (1996) J. Classification , vol.13 , pp. 195-212
    • Celeux, G.1    Soromenho, G.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.