메뉴 건너뛰기




Volumn 52, Issue 10, 2004, Pages 2701-2710

Model Enforcement: A Unified Feature Transformation Framework for Classification and Recognition

Author keywords

[No Author keywords available]

Indexed keywords


EID: 85008042402     PISSN: 1053587X     EISSN: 19410476     Source Type: Journal    
DOI: 10.1109/TSP.2004.834344     Document Type: Article
Times cited : (1)

References (35)
  • 1
    • 0000807967 scopus 로고
    • Transformations of multivariate data
    • D. F. Andrews, R. Gnanadesikan, and J. L. Warner, “Transformations of multivariate data”, Biometrics, vol. 27, pp. 825-840, 1971.
    • (1971) Biometrics , vol.27 , pp. 825-840
    • Andrews, D.F.1    Gnanadesikan, R.2    Warner, J.L.3
  • 2
    • 0022691022 scopus 로고
    • Maximum likelihood estimation for multivariate mixture observations of Markov Chains
    • Mar.
    • B. H. Juang, S. E. Levinson, and M. M. Sondhi, “Maximum likelihood estimation for multivariate mixture observations of Markov Chains”, IEEE Trans. Inform. Theory, vol. IT-32, pp. 307-309, Mar. 1986.
    • (1986) IEEE Trans. Inform. Theory , vol.IT-32 , pp. 307-309
    • Juang, B.H.1    Levinson, S.E.2    Sondhi, M.M.3
  • 3
    • 0031632815 scopus 로고    scopus 로고
    • Learning to resolve natural language ambiguities: A unified approach
    • Menlo Park, CA
    • D. Roth, “Learning to resolve natural language ambiguities: A unified approach”, in Proc. Conf. Amer. Assoc. Artificial Intell.,Menlo Park, CA, 1998, pp. 806-813.
    • (1998) Proc. Conf. Amer. Assoc. Artificial Intell. , pp. 806-813
    • Roth, D.1
  • 4
    • 0028466072 scopus 로고
    • The importance of cepstral parameter correlations in speech recognition
    • A. Ljolje, “The importance of cepstral parameter correlations in speech recognition”, Comput., Speech, Language, vol. 8, pp. 223-232, 1994.
    • (1994) Comput., Speech, Language , vol.8 , pp. 223-232
    • Ljolje, A.1
  • 9
    • 84892187452 scopus 로고    scopus 로고
    • Maximum likelihood modeling with Gaussian distributions for classification
    • Seattle, WA
    • R. A. Gopinath, “Maximum likelihood modeling with Gaussian distributions for classification”, in Proc. IEEE ICASSP, Seattle, WA, 1998.
    • (1998) Proc. IEEE ICASSP
    • Gopinath, R.A.1
  • 15
    • 0001065501 scopus 로고
    • On the comparative anatomy of transformations
    • J. W. Tukey, “On the comparative anatomy of transformations”, Ann. Math. Statist., vol. 28, pp. 602-632, 1957.
    • (1957) Ann. Math. Statist. , vol.28 , pp. 602-632
    • Tukey, J.W.1
  • 16
    • 0000133998 scopus 로고
    • An analysis of transformations
    • G. E. P. Box and D. R. Cox, “An analysis of transformations”, J. R. Statist. Soc., vol. 26, pp. 211-252, 1964.
    • (1964) J. R. Statist. Soc. , vol.26 , pp. 211-252
    • Box, G.E.P.1    Cox, D.R.2
  • 18
    • 84898929664 scopus 로고    scopus 로고
    • EM algorithms for PCA and SPCA
    • Cambridge, MA: MIT Press
    • S. Roweis, “EM algorithms for PCA and SPCA”, in Advances in Neural Information Processing Systems. Cambridge, MA: MIT Press, 1998, vol. 10, pp. 626-632.
    • (1998) Advances in Neural Information Processing Systems , vol.10 , pp. 626-632
    • Roweis, S.1
  • 19
    • 84985598237 scopus 로고
    • Canonical variate analysis-A general formulation
    • N. Campbell, “Canonical variate analysis-A general formulation”, Austral. J. Statist., vol. 26, pp. 86-96, 1984.
    • (1984) Austral. J. Statist. , vol.26 , pp. 86-96
    • Campbell, N.1
  • 20
    • 0005324952 scopus 로고
    • Discriminant analysis by Gaussian mixtures
    • Murray Hill, NJ, Tech. Rep.
    • T. Hastie and R. Tibshirani, “Discriminant analysis by Gaussian mixtures”, AT&T Bell Labs., Murray Hill, NJ, Tech. Rep., 1994.
    • (1994) AT&T Bell Labs.
    • Hastie, T.1    Tibshirani, R.2
  • 21
    • 0003871508 scopus 로고    scopus 로고
    • Investigation of silicon-auditory models and generalization of linear discriminant analysis for improved speech recognition
    • John Hopkins Univ., Baltimore, MD
    • N. Kumar, “Investigation of silicon-auditory models and generalization of linear discriminant analysis for improved speech recognition”, Ph.D. Dissertation, John Hopkins Univ., Baltimore, MD, 1997.
    • (1997) Ph.D. Dissertation
    • Kumar, N.1
  • 23
    • 0034207888 scopus 로고    scopus 로고
    • A unifying information-theoretic framework for independent component analysis
    • Mar.
    • T.-W. Lee, M. Girolami, A. J. Bell, and T. J. Sejnowski, “A unifying information-theoretic framework for independent component analysis”, Comput. Math. Applicat., vol. 31, no. 11, pp. 1-21, Mar. 2000.
    • (2000) Comput. Math. Applicat. , vol.31 , Issue.11 , pp. 1-21
    • Lee, T.-W.1    Girolami, M.2    Bell, A.J.3    Sejnowski, T.J.4
  • 27
    • 85106600538 scopus 로고    scopus 로고
    • Symplectic nonlinear component analysis
    • Cambridge, MA: MIT Press
    • L. C. Parra, “Symplectic nonlinear component analysis”, in Advances in Neural Information Processing Systems. Cambridge, MA: MIT Press, 1996, vol. 8, pp. 437-443.
    • (1996) Advances in Neural Information Processing Systems , vol.8 , pp. 437-443
    • Parra, L.C.1
  • 28
    • 0024880831 scopus 로고
    • Multilayer feed-forward neural networks are universal approximators
    • K. Hornik, M. Stinchcombe, and H. White, “Multilayer feed-forward neural networks are universal approximators”, Neural Network, vol. 2, pp. 359-366, 1989.
    • (1989) Neural Network , vol.2 , pp. 359-366
    • Hornik, K.1    Stinchcombe, M.2    White, H.3
  • 29
    • 0024610919 scopus 로고
    • A tutorial on Hidden Markov models and selected applications in speech recognition
    • Feb.
    • L. Rabiner, “A tutorial on Hidden Markov models and selected applications in speech recognition”, in Proc. IEEE, vol. 77, Feb. 1989, pp. 257-286.
    • (1989) Proc. IEEE , vol.77 , pp. 257-286
    • Rabiner, L.1
  • 32
    • 0018918171 scopus 로고
    • An algorithm for vector quantizer design
    • Jan.
    • Y. Linde, A. Buzo, and R. M. Gray, “An algorithm for vector quantizer design”, IEEE Trans. Commun., vol. COM-28, pp. 84-94, Jan. 1980.
    • (1980) IEEE Trans. Commun. , vol.COM-28 , pp. 84-94
    • Linde, Y.1    Buzo, A.2    Gray, R.M.3
  • 33
    • 0019053271 scopus 로고
    • Comparison of parametric representations for monosyllabic word recognition in continuously spoken sentences
    • Aug.
    • S. B. Davis and P. Mermelstein, “Comparison of parametric representations for monosyllabic word recognition in continuously spoken sentences”, IEEE Trans. Acoust., Speech, Signal Processing, vol. ASSP-28, pp. 357-366, Aug. 1980.
    • (1980) IEEE Trans. Acoust., Speech, Signal Processing , vol.ASSP-28 , pp. 357-366
    • Davis, S.B.1    Mermelstein, P.2
  • 34
    • 0024768209 scopus 로고
    • Speaker independent phone recognition using Hidden Markov models
    • Nov.
    • K.-F. Lee and H.-W. Hon, “Speaker independent phone recognition using Hidden Markov models”, IEEE Trans. Acoust., Speech, Signal Processing, vol. 37, pp. 1641-1648, Nov. 1989.
    • (1989) IEEE Trans. Acoust., Speech, Signal Processing , vol.37 , pp. 1641-1648
    • Lee, K.-F.1    Hon, H.-W.2
  • 35
    • 0028530231 scopus 로고
    • State clustering in Hidden Markov model continous speech recognition
    • Oct.
    • S. Young and P. Woodland, “State clustering in Hidden Markov model continous speech recognition”, Comput., Speech, Language, vol. 8, no. 4, pp. 369-383, Oct. 1994.
    • (1994) Comput., Speech, Language , vol.8 , Issue.4 , pp. 369-383
    • Young, S.1    Woodland, P.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.