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Volumn , Issue , 2008, Pages 350-355

Multiclass linear dimension reduction via a generalized Chernoff bound

Author keywords

[No Author keywords available]

Indexed keywords

LEARNING SYSTEMS; NUMERICAL ANALYSIS; NUMERICAL METHODS; SIGNAL PROCESSING; TECHNICAL PRESENTATIONS;

EID: 58049152345     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/MLSP.2008.4685505     Document Type: Conference Paper
Times cited : (5)

References (12)
  • 2
    • 38049115941 scopus 로고    scopus 로고
    • Analysis and extension of spectral methods for nonlinear dimensionality reduction
    • F. Sha and L. K. Saul, "Analysis and extension of spectral methods for nonlinear dimensionality reduction," Proc. 22nd intl. conf. Machine learning, pp. 784-791, 2005.
    • (2005) Proc. 22nd intl. conf. Machine learning , pp. 784-791
    • Sha, F.1    Saul, L.K.2
  • 3
    • 1942450610 scopus 로고    scopus 로고
    • Feature extraction by non-parametric mutual information maximization
    • K. Torkkola, I. Guyon, and A. Elisseeff, "Feature extraction by non-parametric mutual information maximization," Journal of Machine Learning Research, vol. 3, no. 7-8, pp. 1415-1438, 2003.
    • (2003) Journal of Machine Learning Research , vol.3 , Issue.7-8 , pp. 1415-1438
    • Torkkola, K.1    Guyon, I.2    Elisseeff, A.3
  • 4
    • 34447277147 scopus 로고    scopus 로고
    • Information discriminant analysis: Feature extraction with an information-theoretic objective
    • Z. Nenadic, "Information discriminant analysis: Feature extraction with an information-theoretic objective.," IEEE Trans. Pattern Anal. Mach. Intell., vol. 29, no. 8, pp. 1394-1407, 2007.
    • (2007) IEEE Trans. Pattern Anal. Mach. Intell , vol.29 , Issue.8 , pp. 1394-1407
    • Nenadic, Z.1
  • 6
    • 0036688735 scopus 로고    scopus 로고
    • A modified minimum classification error (MCE) training algorithm for dimensionality reduction
    • X. Wang and K. K. Paliwal, "A modified minimum classification error (MCE) training algorithm for dimensionality reduction," J. VLSI Signal Process. Syst., vol. 32, no. 1-2, pp. 19-28, 2002.
    • (2002) J. VLSI Signal Process. Syst , vol.32 , Issue.1-2 , pp. 19-28
    • Wang, X.1    Paliwal, K.K.2
  • 7
    • 3042673775 scopus 로고    scopus 로고
    • Linear dimensionality reduction via a heteroscedastic extension of LDA: The Chernoff criterion
    • M. Loog and R. P. W. Duin, "Linear dimensionality reduction via a heteroscedastic extension of LDA: The Chernoff criterion," IEEE Trans. Pattern Anal. Mach. Intell., vol. 26, no. 6, pp. 732-739, 2004.
    • (2004) IEEE Trans. Pattern Anal. Mach. Intell , vol.26 , Issue.6 , pp. 732-739
    • Loog, M.1    Duin, R.P.W.2
  • 9
    • 33644860218 scopus 로고    scopus 로고
    • A Linear Feature Extraction for Multiclass Classification Problems Based on Class Mean and Covariance Discriminant Information
    • P. F. Hsieh, D. S. Wang, and C. W. Hsu, "A Linear Feature Extraction for Multiclass Classification Problems Based on Class Mean and Covariance Discriminant Information," IEEE Trans. Pattern Anal. Mach. Intell., pp. 223-235, 2006.
    • (2006) IEEE Trans. Pattern Anal. Mach. Intell , pp. 223-235
    • Hsieh, P.F.1    Wang, D.S.2    Hsu, C.W.3
  • 11
    • 84915005479 scopus 로고
    • Probability of error, equivocation, and the Chernoff bound
    • July
    • M. E. Hellman and J. Raviv, "Probability of error, equivocation, and the Chernoff bound," IEEE Trans. Inf. Theory, vol. 16, no. 4, pp. 368-372, July 1970.
    • (1970) IEEE Trans. Inf. Theory , vol.16 , Issue.4 , pp. 368-372
    • Hellman, M.E.1    Raviv, J.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.