1084 search results - page 14 / 217 » Hidden Markov Models with Multiple Observation Processes |
106
Voted
CVIU
2004
15 years 1 months ago
2004
We present the use of layered probabilistic representations for modeling human activities, and describe how we use the representation to do sensing, learning, and inference at mul...
169
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AAAI
2011
14 years 1 months ago
2011
Recently, a number of researchers have proposed spectral algorithms for learning models of dynamical systems—for example, Hidden Markov Models (HMMs), Partially Observable Marko...
128
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AUTOMATICA
2007
15 years 2 months ago
2007
The sensor scheduling problem can be formulated as a controlled hidden Markov model and this paper solves the problem when the state, observation and action spaces are continuous....
123
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CDC
2008
IEEE
15 years 2 months ago
2008
IEEE
We describe a hidden Markov modeling approach to multiple change-points that has attractive computational and statistical properties. This approach yields explicit recursive filter...
122
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IJAR
2007
15 years 1 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, ...