메뉴 건너뛰기




Volumn 19, Issue 1 II, 2004, Pages 37-52

Class-specific classifier: Avoiding the curse of dimensionality

Author keywords

[No Author keywords available]

Indexed keywords

FEATURE EXTRACTION; LEARNING SYSTEMS; PROBABILITY; STATISTICAL METHODS;

EID: 1442289305     PISSN: 08858985     EISSN: None     Source Type: Journal    
DOI: 10.1109/MAES.2004.1263230     Document Type: Article
Times cited : (38)

References (25)
  • 1
    • 0037334364 scopus 로고    scopus 로고
    • The PDF projection theorem and the class-specific method
    • (Mar. 2003)
    • Baggenstoss, P. M. (2002) The PDF projection theorem and the class-specific method. IEEE Transactions on Signal Processing, 51, 3 (Mar. 2003), 672-685.
    • (2002) IEEE Transactions on Signal Processing , vol.51 , Issue.3 , pp. 672-685
    • Baggenstoss, P.M.1
  • 3
    • 0000439527 scopus 로고
    • Optimal rates of convergence for nonparametric estimators
    • Stone, C. J. (1980) Optimal rates of convergence for nonparametric estimators. Annals of Statistics, 8, 6 (1980) 1348-1360.
    • (1980) Annals of Statistics , vol.8 , Issue.6 , pp. 1348-1360
    • Stone, C.J.1
  • 8
    • 84867093907 scopus 로고    scopus 로고
    • A hierarchical multiclassifier system for hyperspectral data analysis
    • In J. Kittler and F. Roli, (Eds.); Springer, 2000
    • Kumar, S., Ghosh, J., and Crawford, M. (2000) A hierarchical multiclassifier system for hyperspectral data analysis. In J. Kittler and F. Roli, (Eds.), Multiple Classifier Systems, Springer, 2000, 270-279.
    • (2000) Multiple Classifier Systems , pp. 270-279
    • Kumar, S.1    Ghosh, J.2    Crawford, M.3
  • 9
    • 0031271272 scopus 로고    scopus 로고
    • Discriminative metric design for robust pattern recognition
    • (1997)
    • Watanabe, H., Yamaguchi, T., and Katagiri, S. (1997) Discriminative metric design for robust pattern recognition. IEEE Transactions on Signal Processing, 45, 11 (1997), 2655-2661.
    • (1997) IEEE Transactions on Signal Processing , vol.45 , Issue.11 , pp. 2655-2661
    • Watanabe, H.1    Yamaguchi, T.2    Katagiri, S.3
  • 10
  • 12
    • 0033328818 scopus 로고    scopus 로고
    • Class-specific features in classification
    • (Dec. 1999)
    • Baggenstoss, P. M. (1999) Class-specific features in classification. IEEE Transactions on Signal Processing, 47 (Dec. 1999), 3428-3432.
    • (1999) IEEE Transactions on Signal Processing , vol.47 , pp. 3428-3432
    • Baggenstoss, P.M.1
  • 13
    • 0034226244 scopus 로고    scopus 로고
    • Sufficiency, classification, and the class-specific feature theorem
    • (July 2000)
    • Kay, S. (2000) Sufficiency, classification, and the class-specific feature theorem. IEEE Transactions on Information Theory, 46 (July 2000), 1654-1658.
    • (2000) IEEE Transactions on Information Theory , vol.46 , pp. 1654-1658
    • Kay, S.1
  • 15
    • 0035340676 scopus 로고    scopus 로고
    • A modified Baum-Welch algorithm for hidden Markov models with multiple observation spaces
    • (May 2001)
    • Baggenstoss, P. M. (2001) A modified Baum-Welch algorithm for hidden Markov models with multiple observation spaces. IEEE Transactions on Speech and Audio, 9, 4 (May 2001), 411-416.
    • (2001) IEEE Transactions on Speech and Audio , vol.9 , Issue.4 , pp. 411-416
    • Baggenstoss, P.M.1
  • 18
    • 0035485422 scopus 로고    scopus 로고
    • Multidimensional probability density function approximation for detection, classification and model order selection
    • (Oct. 2001)
    • Kay, S. M., Nuttall, A. H., and Baggenstoss, P. M. (2001) Multidimensional probability density function approximation for detection, classification and model order selection. IEEE Transactions on Signal Processing, 49 (Oct. 2001), 2240-2252.
    • (2001) IEEE Transactions on Signal Processing , vol.49 , pp. 2240-2252
    • Kay, S.M.1    Nuttall, A.H.2    Baggenstoss, P.M.3
  • 19
    • 1442307981 scopus 로고    scopus 로고
    • The joint distributions for two useful classes of statistics with applications to classification and hypothesis testing
    • Nuttall, A. H., and Baggenstoss, P. M. (2002) The joint distributions for two useful classes of statistics with applications to classification and hypothesis testing. Submitted to IEEE Transactions on Signal Processing, 2002.
    • (2002) IEEE Transactions on Signal Processing
    • Nuttall, A.H.1    Baggenstoss, P.M.2
  • 20
    • 0347963789 scopus 로고    scopus 로고
    • GTM: The generative topographic mapping
    • Bishop, C. M., Svensen, M., and Williams, C. K. I. (1998) GTM: The generative topographic mapping. Neural Computation, 10, 1 (1998), 215-234.
    • (1998) Neural Computation , vol.10 , Issue.1 , pp. 215-234
    • Bishop, C.M.1    Svensen, M.2    Williams, C.K.I.3
  • 23
    • 0024610919 scopus 로고
    • A tutorial on hidden Markov models and selected applications in speech recognition
    • (Feb. 1989)
    • Rabiner, L. R. (1989) A tutorial on hidden Markov models and selected applications in speech recognition. Proceedings of the IEEE, 77 (Feb. 1989), 257-286.
    • (1989) Proceedings of the IEEE , vol.77 , pp. 257-286
    • Rabiner, L.R.1
  • 24
    • 77749261879 scopus 로고    scopus 로고
    • Joint probability density function of selected order statistics and the sum of the remaining random variables
    • NUWC Technical Report 11345, Oct. 2001
    • Nuttall, A. H. (2001) Joint probability density function of selected order statistics and the sum of the remaining random variables. NUWC Technical Report 11345, Oct. 2001.
    • (2001)
    • Nuttall, A.H.1
  • 25
    • 0003499096 scopus 로고    scopus 로고
    • Saddlepoint approximation and first-order correction term to the joint probability density function of M quadratic and linear forms in K Gaussian random variables with arbitrary means and covariances
    • NUWC Technical Report 11262, Dec. 2000
    • Nuttall, A. H. (2000) Saddlepoint approximation and first-order correction term to the joint probability density function of M quadratic and linear forms in K Gaussian random variables with arbitrary means and covariances. NUWC Technical Report 11262, Dec. 2000.
    • (2000)
    • Nuttall, A.H.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.