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Volumn 5632 LNAI, Issue , 2009, Pages 96-106

Sequential em for unsupervised adaptive gaussian mixture model based classifier

Author keywords

[No Author keywords available]

Indexed keywords

ADAPTATION METHODS; ADAPTIVE GAUSSIAN MIXTURE; CLASSIFICATION ACCURACY; EXPECTATION-MAXIMIZATION ALGORITHMS; GAUSSIAN MIXTURE MODEL; NON-STATIONARITIES; STATISTICAL FEATURES; SYNTHETIC DATA; TIME VARYING;

EID: 70350594336     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-642-03070-3_8     Document Type: Conference Paper
Times cited : (21)

References (11)
  • 3
    • 14944352376 scopus 로고    scopus 로고
    • A model-selection-based self-splitting Gaussian mixture learning with application to speaker identification
    • Cheng, S., Wang, H., Fu, H.: A model-selection-based self-splitting Gaussian mixture learning with application to speaker identification. EURASIP Journal on Applied Signal Processing 17, 2626-2639 (2004)
    • (2004) EURASIP Journal on Applied Signal Processing , vol.17 , pp. 2626-2639
    • Cheng, S.1    Wang, H.2    Fu, H.3
  • 4
    • 15944406293 scopus 로고    scopus 로고
    • Incremental model-based clustering for large datasets with small clusters
    • Tech. Rep. 439
    • Fraley, C., Raftery, A., Wehrensy, R.: Incremental model-based clustering for large datasets with small clusters. Tech. Rep. 439 (2003)
    • (2003)
    • Fraley, C.1    Raftery, A.2    Wehrensy, R.3
  • 6
    • 0013301483 scopus 로고    scopus 로고
    • A study of musical instrument classification using Gaussian mixture models and support vector machines
    • 99/4
    • Marques, J., Moreno, P.J.: A study of musical instrument classification using Gaussian mixture models and support vector machines. Tech. Rep. CRL 99/4 (1999)
    • (1999) Tech. Rep. CRL
    • Marques, J.1    Moreno, P.J.2
  • 8
    • 29644438050 scopus 로고    scopus 로고
    • Statistical comparisons of classifiers over multiple data sets
    • Desmar, J.: Statistical comparisons of classifiers over multiple data sets. Journal of Machine Learning Research 7, 1-30 (2006)
    • (2006) Journal of Machine Learning Research , vol.7 , pp. 1-30
    • Desmar, J.1
  • 9
    • 0002788893 scopus 로고    scopus 로고
    • A view of the EM algorithm that justifies incremental, sparse, and other variants
    • Neal, R.M., Hinton, G.E.: A view of the EM algorithm that justifies incremental, sparse, and other variants. Learning in Graphical Models, 355-368 (1998)
    • (1998) Learning in Graphical Models , vol.355-368
    • Neal, R.M.1    Hinton, G.E.2
  • 10
    • 0034131785 scopus 로고    scopus 로고
    • On-line EM algorithm for the normalized Gaussian network
    • Sato, M., Ishii, S.: On-line EM algorithm for the normalized Gaussian network. Neural Comp. 12(2), 407-432 (2000)
    • (2000) Neural Comp , vol.12 , Issue.2 , pp. 407-432
    • Sato, M.1    Ishii, S.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.