20833 search results - page 198 / 4167 » Hidden process models |
102
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KI
2009
Springer
15 years 9 months ago
2009
Springer
This paper presents a sequential state estimation method with arbitrary probabilistic models expressing the system’s belief. Probabilistic models can be estimated by Maximum a po...
145
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ICMCS
2005
IEEE
15 years 8 months ago
2005
IEEE
In this work we present a novel multi-modal mixed-state dynamic Bayesian network (DBN) for robust meeting event classification. The model uses information from lapel microphones,...
132
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SSPR
2004
Springer
15 years 8 months ago
2004
Springer
We present results on an extension to our approach for automatic sports video annotation. Sports video is augmented with accelerometer data from wrist bands worn by umpires in the ...
121
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AAAI
2000
15 years 4 months ago
2000
Recent research has demonstrated the strong performance of hidden Markov models applied to information extraction--the task of populating database slots with corresponding phrases...
118
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BMCBI
2005
15 years 3 months ago
2005
Background: Baum-Welch training is an expectation-maximisation algorithm for training the emission and transition probabilities of hidden Markov models in a fully automated way. I...