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Volumn , Issue , 2009, Pages

An anti-spam filter combination framework for text-and-image emails through incremental learning

Author keywords

[No Author keywords available]

Indexed keywords

INTERNET;

EID: 84904818300     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper
Times cited : (11)

References (18)
  • 1
    • 33947362522 scopus 로고    scopus 로고
    • Image analysis for efficient categorization of image-based spam e-mail
    • Aradhey, H. B., Gregory, K. M., and James, A. H., Image analysis for efficient categorization of image-based spam e-mail, in Proc. of ICDAR, 2005.
    • (2005) Proc. of ICDAR
    • Aradhey, H.B.1    Gregory, K.M.2    James, A.H.3
  • 2
    • 79958228452 scopus 로고    scopus 로고
    • Directed graphical models of classifier combination: Application to phone recognition
    • Bilmes, J. and Kirchhoff, K., Directed graphical models of classifier combination: application to phone recognition, in Proc of ICSLP, 2000.
    • (2000) Proc of ICSLP
    • Bilmes, J.1    Kirchhoff, K.2
  • 3
    • 84904818217 scopus 로고    scopus 로고
    • A discriminative learning approach to image modeling and spam image identification
    • Byun, B., Lee, C. -H., Webb, S., and Pu, C. A discriminative learning approach to image modeling and spam image identification, in Proc. of CEAS, 2007.
    • (2007) Proc. of CEAS
    • Byun, B.1    Lee, C.-H.2    Webb, S.3    Pu, C.4
  • 4
    • 22544468455 scopus 로고    scopus 로고
    • Boosting trees for Anti-spam email filtering
    • Carreras, X. and Mrquez, L., Boosting trees for Anti-spam email filtering, in Proc. of RANLP-01, 2001.
    • (2001) Proc. of RANLP-01
    • Carreras, X.1    Mrquez, L.2
  • 6
    • 84904814570 scopus 로고    scopus 로고
    • Batch and online spam filter comparison
    • Cormack, G. and Bratko, A., Batch and Online Spam Filter Comparison, in Proc. of CEAS, 2006.
    • (2006) Proc. of CEAS
    • Cormack, G.1    Bratko, A.2
  • 9
    • 14344255188 scopus 로고    scopus 로고
    • An MFoM learning approach to robust multiclass multi-label text categorization
    • Gao, S., Wu, W., Lee, C. -H., and Chua T. -S., An MFoM learning approach to robust multiclass multi-label text categorization, in Proc. of ICML, 2004.
    • (2004) Proc. of ICML
    • Gao, S.1    Wu, W.2    Lee, C.-H.3    Chua, T.-S.4
  • 10
    • 84904796096 scopus 로고    scopus 로고
    • http://bogofilter.sourceforge.net/.
  • 11
    • 84904791785 scopus 로고    scopus 로고
    • http://osbf-lua.luaforge.net/.
  • 12
    • 0031103160 scopus 로고    scopus 로고
    • On-line adaptive learning of the countinuous density hidden markov model based on approximate recursive bayes estimate
    • Huo, Q. and Lee, C. -H., On-line adaptive learning of the countinuous density hidden markov model based on approximate recursive bayes estimate, IEEE Trans. on Speech and Audio Processing, vol. 5, no. 2, 1997.
    • (1997) IEEE Trans. on Speech and Audio Processing , vol.5 , Issue.2
    • Huo, Q.1    Lee, C.-H.2
  • 14
    • 0000159105 scopus 로고    scopus 로고
    • On adaptive decision rules and decision parameters adaptation for automatic speech recognition
    • Lee, C. -H., and Huo, Q., On adaptive decision rules and decision parameters adaptation for automatic speech recognition, Proc. of IEEE, vol. 88, no. 8, 2000.
    • (2000) Proc. of IEEE , vol.88 , Issue.8
    • Lee, C.-H.1    Huo, Q.2
  • 17
    • 0033281701 scopus 로고    scopus 로고
    • Improved boosting algorithms using confidence-rated predictors
    • Schapire, R. E., and Singer, Y., Improved boosting algorithms using confidence-rated predictors, Machine Learning, no. 37, vol. 3, 1999.
    • (1999) Machine Learning , vol.3 , Issue.37
    • Schapire, R.E.1    Singer, Y.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.