Triplet Markov Chains Based- Estimation of Nonstationary Latent Variables Hidden with Independent Noise
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Publisher
Springer International Publishing
Link
http://link.springer.com/content/pdf/10.1007/978-3-319-93375-7_7
Reference50 articles.
1. Boudaren, M.E.Y., Monfrini, E., Bey, K.B., Habbouchi, A., Pieczynski, W.: Unsupervised segmentation of nonstationary data using triplet Markov chains. In: ICEIS 2017: 19th International Conference on Enterprise Information Systems. vol. 1., pp. 405–414. Scitepress (2017)
2. Baum, L.E., Petrie, T., Soules, G., Weiss, N.: A maximization technique occurring in the statistical analysis of probabilistic functions of Markov chains. Ann. Math. Stat. 41(1), 164–171 (1970)
3. Forney Jr., G.D.: The viterbi algorithm. Proc. IEEE 61, 268–278 (1973)
4. Rabiner, L.: A tutorial on hidden Markov models and selected applications in speech recognition. Proc. IEEE 77, 257–286 (1989)
5. Cappé, O., Moulines, E., Rydén, T.: Inference in hidden Markov models, vol. 6. Springer, New York (2005)
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