1084 search results - page 4 / 217 » Hidden Markov Models with Multiple Observation Processes |
106
Voted
WIAMIS
2009
IEEE
15 years 8 months ago
2009
IEEE
We propose a novel statistical approach to detect defects in digitized archive film by using temporal information across a number of frames modeled with an HMM. The HMM is traine...
107
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CORR
2010
Springer
15 years 1 months ago
2010
Springer
This paper investigates the decentralized detection of Hidden Markov Processes using the NeymanPearson test. We consider a network formed by a large number of distributed sensors....
127
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DATE
2008
IEEE
15 years 8 months ago
2008
IEEE
- The effectiveness of stochastic power management relies on the accurate system and workload model and effective policy optimization. Workload modeling is a machine learning proce...
143
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ECML
2005
Springer
15 years 7 months ago
2005
Springer
Partially Observable Markov Decision Processes (POMDP) provide a standard framework for sequential decision making in stochastic environments. In this setting, an agent takes actio...
173
Voted
ICIP
2001
IEEE
16 years 3 months ago
2001
IEEE
The HMM (Hidden Markov Model) is a probabilistic model of the joint probability of a collection of random variables with both observations and states. The GMM (Gaussian Mixture Mo...