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Comments on "Joint Bayesian Model Selection and Estimation of Noisy Sinusoids Via Reversible Jump MCMC"., , и . IEEE Trans. Signal Process., 61 (14): 3653-3655 (2013)Context-Dependent Segmentation of Retinal Blood Vessels Using Hidden Markov Models., , , , и . CSICC, том 6 из Communications in Computer and Information Science, стр. 348-355. (2008)Detection of Outer Layer of the Vessel Wall and Characterization of Calcified Plaques in IVUS Images., , , , , и . CSICC, том 6 из Communications in Computer and Information Science, стр. 629-636. (2008)Summarizing posterior distributions in signal decomposition problems when the number of components is unknown., , и . ICASSP, стр. 3873-3876. IEEE, (2012)Relabeling and Summarizing Posterior Distributions in Signal Decomposition Problems When the Number of Components is Unknown., , и . IEEE Trans. Signal Process., 62 (16): 4091-4104 (2014)On the joint Bayesian model selection and estimation of sinusoids via Reversible Jump MCMC in low SNR situations., , и . ISSPA, стр. 5-8. IEEE, (2010)Automatic segmentation of calcified plaques and vessel borders in IVUS images., , , , , , и . Int. J. Comput. Assist. Radiol. Surg., 3 (3-4): 347-354 (2008)An empirical Bayes approach for joint Bayesian model selection and estimation of sinusoids via reversible jump MCMC., , и . EUSIPCO, стр. 1048-1052. IEEE, (2010)Polar Run-Length Features in Segmentation of Retinal Blood Vessels., , , и . ICDIP, стр. 72-75. IEEE Computer Society, (2009)