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@article{bb109607,
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@article{bb109610,
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@article{bb109611,
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@article{bb109626,
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@inproceedings{bb109630,
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@inproceedings{bb109631,
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@inproceedings{bb109632,
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@inproceedings{bb109633,
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@inproceedings{bb109634,
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@inproceedings{bb109635,
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@inproceedings{bb109636,
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@inproceedings{bb109637,
        AUTHOR = "Ha, J.M. and Jeon, B. and Jeon, J. and Jo, S.Y. and Jeong, H.",
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@inproceedings{bb109638,
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@inproceedings{bb109640,
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@inproceedings{bb109641,
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@inproceedings{bb109642,
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@inproceedings{bb109643,
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@inproceedings{bb109644,
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@inproceedings{bb109645,
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@inproceedings{bb109646,
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@inproceedings{bb109647,
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@inproceedings{bb109648,
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@inproceedings{bb109649,
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@inproceedings{bb109650,
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@inproceedings{bb109651,
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@inproceedings{bb109652,
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@inproceedings{bb109654,
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@inproceedings{bb109656,
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@inproceedings{bb109658,
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@inproceedings{bb109659,
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@article{bb109671,
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@article{bb109676,
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@inproceedings{bb109677,
        AUTHOR = "Caelli, T.M. and McCane, B.",
        TITLE = "Components analysis of hidden Markov models in computer vision",
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@inproceedings{bb109678,
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        TITLE = "Links between probabilistic automata and hidden Markov models:
probability distributions, learning models and induction algorithms",
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@article{bb109679,
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        TITLE = "Hidden Markov models with factored Gaussian mixtures densities",
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@article{bb109680,
        AUTHOR = "Bicego, M. and Castellani, U. and Murino, V.",
        TITLE = "A Hidden Markov Model approach for appearance-based 3D object
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@article{bb109681,
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        TITLE = "Variational Bayes for Continuous Hidden Markov Models and Its
Application to Active Learning",
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@article{bb109682,
        AUTHOR = "Johansson, M. and Olofsson, T.",
        TITLE = "Bayesian Model Selection for Markov, Hidden Markov, and Multinomial
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@article{bb109683,
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@inproceedings{bb109684,
        AUTHOR = "Pyun, K. and Won, C.S. and Lim, J. and Cray, R.M.",
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mixture model",
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        BIBSOURCE = "http://www.visionbib.com/bibliography/match575hmm2.html#TT106047"}

@article{bb109685,
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estimation of Hidden Markov Model",
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@article{bb109686,
        AUTHOR = "Pyun, K. and Lim, J. and Gray, R.M.",
        TITLE = "A Robust Hidden Markov Gauss Mixture Vector Quantizer for a Noisy
Source",
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@article{bb109687,
        AUTHOR = "Schwier, J.M. and Brooks, R.R. and Griffin, C. and Bukkapatnam, S.",
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@article{bb109688,
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        TITLE = "Cost-Effective Hidden Markov Model-Based Image Segmentation",
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@article{bb109689,
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@article{bb109690,
        AUTHOR = "Bali, N. and Mohammad Djafari, A.",
        TITLE = "Bayesian Approach With Hidden Markov Modeling and Mean Field
Approximation for Hyperspectral Data Analysis",
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        BIBSOURCE = "http://www.visionbib.com/bibliography/match575hmm2.html#TT106053"}

@inproceedings{bb109691,
        AUTHOR = "Bali, N. and Mohammad Djafari, A. and Mohammadpoor, A.",
        TITLE = "Joint Dimensionality Reduction, Classification and Segmentation of
Hyperspectral Images",
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        BIBSOURCE = "http://www.visionbib.com/bibliography/match575hmm2.html#TT106054"}

@article{bb109692,
        AUTHOR = "Chatzis, S.P. and Kosmopoulos, D.I. and Varvarigou, T.A.",
        TITLE = "Robust Sequential Data Modeling Using an Outlier Tolerant Hidden Markov
Model",
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@article{bb109693,
        AUTHOR = "Chatzis, S.P. and Kosmopoulos, D.I.",
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@article{bb109694,
        AUTHOR = "Chatzis, S.P. and Kosmopoulos, D.I.",
        TITLE = "Visual Workflow Recognition Using a Variational Bayesian Treatment of
Multistream Fused Hidden Markov Models",
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@article{bb109695,
        AUTHOR = "Chatzis, S.P.",
        TITLE = "Hidden Markov Models with Nonelliptically Contoured State Densities",
        JOURNAL = PAMI,
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@article{bb109696,
        AUTHOR = "Kosmopoulos, D.I. and Chatzis, S.P.",
        TITLE = "Robust Visual Behavior Recognition",
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        NUMBER = "5",
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@inproceedings{bb109697,
        AUTHOR = "Chatzis, S.P. and Tsechpenakis, G.",
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        BOOKTITLE = ICCV09,
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@article{bb109698,
        AUTHOR = "Chatzis, S.P. and Demiris, Y.F.",
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@inproceedings{bb109699,
        AUTHOR = "Chatzis, S.P. and Kosmopoulos, D.I. and Papadourakis, G.M.",
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Last update:Jun 1, 2023 at 10:05:03