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Volumn , Issue , 2007, Pages 139-146

Addressing class distribution issues of the drawing vs writing classification in an ink stroke sequence

Author keywords

[No Author keywords available]

Indexed keywords

HIDDEN MARKOV MODELS; IMAGE CLASSIFICATION; INK; NEURAL NETWORKS; PROBABILITY; RANDOM PROCESSES;

EID: 57349164862     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1145/1384429.1384458     Document Type: Conference Paper
Times cited : (6)

References (13)
  • 1
    • 0003857778 scopus 로고    scopus 로고
    • A Gentle Tutorial on the EM Algorithm and its Application to Parameter Estimation for Gaussian Mixture and Hidden Markov Models
    • Tech. Rep. TR-97-021, International Computer Science Institute, Berkeley CA
    • BILMES J. A.: A Gentle Tutorial on the EM Algorithm and its Application to Parameter Estimation for Gaussian Mixture and Hidden Markov Models. Tech. Rep. TR-97-021, International Computer Science Institute, Berkeley CA, 1998.
    • (1998)
    • BILMES, J.A.1
  • 4
    • 27144549260 scopus 로고    scopus 로고
    • Editorial: Special issue on learning from imbalanced data sets
    • CHAWLA N, V., JAPKOWICZ N., KOTCZ A.: Editorial: special issue on learning from imbalanced data sets. SIGKDD Explorations 6, 1 (2004), 1-6.
    • (2004) SIGKDD Explorations , vol.6 , Issue.1 , pp. 1-6
    • CHAWLA, N.V.1    JAPKOWICZ, N.2    KOTCZ, A.3
  • 5
    • 1942421135 scopus 로고    scopus 로고
    • The geometry of roc space: Understanding machine learning metrics through roc isometrics
    • FLACH P. A.: The geometry of roc space: Understanding machine learning metrics through roc isometrics. In ICML (2003), pp. 194-201.
    • (2003) ICML , pp. 194-201
    • FLACH, P.A.1
  • 6
    • 33845536164 scopus 로고    scopus 로고
    • The class imbalance problem: A systematic study
    • JAPKOWICZ N., STEPHEN S.: The class imbalance problem: A systematic study. Intell. Data Anal. 6, 5 (2002), 429-449.
    • (2002) Intell. Data Anal , vol.6 , Issue.5 , pp. 429-449
    • JAPKOWICZ, N.1    STEPHEN, S.2
  • 7
    • 57349143702 scopus 로고    scopus 로고
    • MC LACHLAN G. J., KR1SHNAN T.: The EM Algorithm and Extensions. John Wiley & Sons, 1997.
    • MC LACHLAN G. J., KR1SHNAN T.: The EM Algorithm and Extensions. John Wiley & Sons, 1997.
  • 8
    • 0001595997 scopus 로고
    • Neural network classifiers estimate bayesian a posteriori probabilities
    • M.D.RICHARD, R.P.LIPPMANN: Neural network classifiers estimate bayesian a posteriori probabilities. Neural Computation 3 (1991), 461-483.
    • (1991) Neural Computation , vol.3 , pp. 461-483
    • RICHARD, M.D.1    LIPPMANN, R.P.2
  • 9
    • 0035283313 scopus 로고    scopus 로고
    • Robust classification for imprecise environments
    • PROVOST F., FAWCETT T.: Robust classification for imprecise environments. Much. Learn. 42, 3 (2001). 203-231.
    • (2001) Much. Learn , vol.42 , Issue.3 , pp. 203-231
    • PROVOST, F.1    FAWCETT, T.2
  • 13
    • 0036134369 scopus 로고    scopus 로고
    • Adjusting the outputs of a classifier to new a priori probabilities: A simple procedure
    • SAERENS M., LATINNE P., DECAESTECKER C: Adjusting the outputs of a classifier to new a priori probabilities: A simple procedure. Neural Computation 14, 1 (2002), 21-41.
    • (2002) Neural Computation , vol.14 , Issue.1 , pp. 21-41
    • SAERENS, M.1    LATINNE, P.2    DECAESTECKER, C.3


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.