113 search results - page 10 / 23 » Hidden Markov Model} Induction by Bayesian Model Merging |
ICMCS
2005
IEEE
15 years 3 months ago
2005
IEEE
In this paper we face the problem of partitioning the news videos into stories, and of their classification according to a predefined set of categories. In particular, we propose ...
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PRL
2000
14 years 9 months ago
2000
We demonstrate the advantages of using Bayesian multi layer perceptron (MLP) neural networks for image analysis. The Bayesian approach provides consistent way to do inference by c...
ICASSP
2011
IEEE
14 years 1 months ago
2011
IEEE
Previously we have proposed different models for estimating articulatory gestures and vocal tract variable (TV) trajectories from synthetic speech. We have shown that when deploye...
ICML
2007
IEEE
15 years 10 months ago
2007
IEEE
A new hierarchical nonparametric Bayesian model is proposed for the problem of multitask learning (MTL) with sequential data. Sequential data are typically modeled with a hidden M...
IJAR
2007
14 years 9 months ago
2007
Hidden Markov chains (HMC) are widely applied in various problems occurring in different areas like Biosciences, Climatology, Communications, Ecology, Econometrics and Finances, ...