1084 search results - page 71 / 217 » Hidden Markov Models with Multiple Observation Processes |
133
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IJRR
2010
14 years 10 months ago
2010
Partially observable Markov decision processes (POMDPs) provide a principled, general framework for robot motion planning in uncertain and dynamic environments. They have been app...
IJCAI
2007
15 years 1 months ago
2007
We consider the fundamental problem of monitoring (i.e. tracking) the belief state in a dynamic system, when the model is only approximately correct and when the initial belief st...
ICIP
2008
IEEE
16 years 1 months ago
2008
IEEE
In this paper a view-independent head tracking system applying an Active Shape Model based particle filter is used to find precise image sections. DCTmod2 feature sequences are ex...
123
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ICASSP
2011
IEEE
14 years 3 months ago
2011
IEEE
The context-independent deep belief network (DBN) hidden Markov model (HMM) hybrid architecture has recently achieved promising results for phone recognition. In this work, we pro...
ECAI
2010
Springer
15 years 29 days ago
2010
Springer
A Markov Decision Process (MDP) is a general model for solving planning problems under uncertainty. It has been extended to multiobjective MDP to address multicriteria or multiagen...