1084 search results - page 65 / 217 » Hidden Markov Models with Multiple Observation Processes |
GFKL
2007
Springer
15 years 6 months ago
2007
Springer
Abstract. Artificial systems with a high degree of autonomy require reliable semantic information about the context they operate in. State interpretation, however, is a difficult ...
125
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ICPR
2008
IEEE
15 years 6 months ago
2008
IEEE
We study models that characterize pen trajectories of online handwritten characters in a fine manner. We propose radical based fine trajectory hidden Markov models (HMMs), which...
IJCAI
2007
15 years 1 months ago
2007
We present a general machine learning framework for modelling the phenomenon of missing information in data. We propose a masking process model to capture the stochastic nature of...
116
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CORR
2008
Springer
14 years 12 months ago
2008
Springer
Recent attention in quickest change detection in the multi-sensor setting has been on the case where the densities of the observations change at the same instant at all the sensor...
CVPR
1998
IEEE
16 years 1 months ago
1998
IEEE
In previous work [14], we modify the hidden Markov model (HMM) framework to incorporate a global parametric variation in the output probabilities of the states of the HMM. Develop...