메뉴 건너뛰기




Volumn 52, Issue 9, 2004, Pages 2551-2560

Computational methods for hidden Markov tree models-An application to wavelet trees

Author keywords

[No Author keywords available]

Indexed keywords

ALGORITHMS; MARKOV PROCESSES; MATHEMATICAL MODELS; PROBABILITY DISTRIBUTIONS; TREES (MATHEMATICS); WAVELET TRANSFORMS;

EID: 4344665182     PISSN: 1053587X     EISSN: None     Source Type: Journal    
DOI: 10.1109/TSP.2004.832006     Document Type: Article
Times cited : (64)

References (22)
  • 1
    • 0031700563 scopus 로고    scopus 로고
    • Wavelet analysis of long range dependant traffic
    • Jan
    • P. Abry and D. Veitch, "Wavelet analysis of long range dependant traffic," IEEE Trans. Inform. Theory, vol. 44, pp. 2-15, Jan. 1998.
    • (1998) IEEE Trans. Inform. Theory , vol.44 , pp. 2-15
    • Abry, P.1    Veitch, D.2
  • 2
    • 0000353178 scopus 로고
    • A maximization technique occurring in the statistical analysis of probabilistic functions of Markov chains
    • L. E. Baum, T. Petrie, G. Soules, and N. Weiss, "A maximization technique occurring in the statistical analysis of probabilistic functions of Markov chains," Ann. Math. Statist., vol. 41, no. 1, pp. 164-171, 1970.
    • (1970) Ann. Math. Statist. , vol.41 , Issue.1 , pp. 164-171
    • Baum, L.E.1    Petrie, T.2    Soules, G.3    Weiss, N.4
  • 3
    • 0032201736 scopus 로고    scopus 로고
    • A soft output hybrid algorithm for ML/MAP sequence estimation
    • Nov
    • G. D. Brushe, R. E. Mahony, and J. B. Moore, "A soft output hybrid algorithm for ML/MAP sequence estimation," IEEE Trans. Inform. Theory, vol. 44, pp. 3129-3134, Nov. 1998.
    • (1998) IEEE Trans. Inform. Theory , vol.44 , pp. 3129-3134
    • Brushe, G.D.1    Mahony, R.E.2    Moore, J.B.3
  • 4
    • 0024557590 scopus 로고
    • Stochastic models for heterogeneous DNA sequences
    • G. A. Churchill, "Stochastic models for heterogeneous DNA sequences," Bull. Math. Biol., vol. 51, pp. 79-94, 1989.
    • (1989) Bull. Math. Biol. , vol.51 , pp. 79-94
    • Churchill, G.A.1
  • 5
    • 33747727601 scopus 로고    scopus 로고
    • Wavelet-based statistical signal processing using hidden Markov models
    • Apr
    • M. S. Crouse, R. D. Nowak, and R. G. Baraniuk, "Wavelet-based statistical signal processing using hidden Markov models," IEEE Trans. Signal Processing, vol. 46, pp. 886-902, Apr. 1998.
    • (1998) IEEE Trans. Signal Processing , vol.46 , pp. 886-902
    • Crouse, M.S.1    Nowak, R.D.2    Baraniuk, R.G.3
  • 6
    • 0035368531 scopus 로고    scopus 로고
    • Dual hidden Markov model for characterizing wavelet coefficients from multi-aspect scattering data
    • N. Dasgputa, P. Runkle, L. Couchman, and L. Carin, "Dual hidden Markov model for characterizing wavelet coefficients from multi-aspect scattering data," Signal Process., vol. 81, no. 6, pp. 1303-1316, 2001.
    • (2001) Signal Process , vol.81 , Issue.6 , pp. 1303-1316
    • Dasgputa, N.1    Runkle, P.2    Couchman, L.3    Carin, L.4
  • 7
    • 0022205224 scopus 로고
    • Baum's forward-backward algorithm revisited
    • P. A. Devijver, "Baum's forward-backward algorithm revisited," Pattern Recogn. Lett., vol. 3, pp. 369-373, 1985.
    • (1985) Pattern Recogn. Lett. , vol.3 , pp. 369-373
    • Devijver, P.A.1
  • 8
    • 84944028528 scopus 로고    scopus 로고
    • Image document categorization using hidden tree Markov models and structured representations
    • Lecture Notes in Comput. Sci., S. Singh, N. Murshed, and W. Kropatsch, Eds
    • M. Diligenti, P. Frasconi, and M. Gori, "Image document categorization using hidden tree Markov models and structured representations," in Proc. Second Int. Conf. Adv. Pattern Recogn., Lecture Notes in Comput. Sci., S. Singh, N. Murshed, and W. Kropatsch, Eds., 2001.
    • (2001) Proc. Second Int. Conf. Adv. Pattern Recogn.
    • Diligenti, M.1    Frasconi, P.2    Gori, M.3
  • 10
    • 0026628466 scopus 로고
    • Wavelet analysis and synthesis of fractional Brownian motion
    • Mar
    • P. Flandrin, "Wavelet analysis and synthesis of fractional Brownian motion," IEEE Trans. Inform. Theory, vol. 38, pp. 910-917, Mar. 1992.
    • (1992) IEEE Trans. Inform. Theory , vol.38 , pp. 910-917
    • Flandrin, P.1
  • 11
    • 0035443990 scopus 로고    scopus 로고
    • Multiscale image segmentation using wavelet-domain hidden Markov models
    • Sept
    • H. Choi and R. G. Baraniuk, "Multiscale image segmentation using wavelet-domain hidden Markov models," IEEE Trans. Image Processing, vol. 10, pp. 1309-1321, Sept. 2001.
    • (2001) IEEE Trans. Image Processing , vol.10 , pp. 1309-1321
    • Choi, H.1    Baraniuk, R.G.2
  • 14
    • 0020734214 scopus 로고
    • An introduction to the application of the theory of probabilistic functions of a Markov process in automatic speech recognition
    • S. E. Levinson, L. R. Rabiner, and M. M. Sondhi, "An introduction to the application of the theory of probabilistic functions of a Markov process in automatic speech recognition," Bell Syst. Tech. J., vol. 62, pp. 1035-1074, 1983.
    • (1983) Bell Syst. Tech. J. , vol.62 , pp. 1035-1074
    • Levinson, S.E.1    Rabiner, L.R.2    Sondhi, M.M.3
  • 18
    • 0024610919 scopus 로고
    • A tutorial on hidden Markov models and selected applications in speech recognition
    • Feb
    • L. R. Rabiner, "A tutorial on hidden Markov models and selected applications in speech recognition," Proc. IEEE, vol. 77, pp. 257-286, Feb. 1989.
    • (1989) Proc. IEEE , vol.77 , pp. 257-286
    • Rabiner, L.R.1
  • 20
    • 0029358580 scopus 로고
    • Parameter estimation of dependance tree models using the EM algorithm
    • Aug
    • O. Ronen, J. R. Rohlicek, and M. Ostendorf, "Parameter estimation of dependance tree models using the EM algorithm," IEEE Signal Processing Lett., vol. 2, pp. 157-159, Aug. 1995.
    • (1995) IEEE Signal Processing Lett. , vol.2 , pp. 157-159
    • Ronen, O.1    Rohlicek, J.R.2    Ostendorf, M.3
  • 21
    • 0031568356 scopus 로고    scopus 로고
    • Probabilistic independence networks for hidden Markov probability models
    • P. Smyth, D. Heckerman, and M. I. Jordan, "Probabilistic independence networks for hidden Markov probability models," Neural Comput., vol. 9, no. 2, pp. 227-270, 1997.
    • (1997) Neural Comput. , vol.9 , Issue.2 , pp. 227-270
    • Smyth, P.1    Heckerman, D.2    Jordan, M.I.3
  • 22
    • 0026829738 scopus 로고
    • Estimation of fractal signals from noisy measurements using wavelets
    • Mar
    • G. W. Wornell and A. V. Oppenheim, "Estimation of fractal signals from noisy measurements using wavelets," IEEE Trans. Signal Processing, vol. 40, pp. 611-623, Mar. 1992.
    • (1992) IEEE Trans. Signal Processing , vol.40 , pp. 611-623
    • Wornell, G.W.1    Oppenheim, A.V.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.