1084 search results - page 110 / 217 » Hidden Markov Models with Multiple Observation Processes |
156
Voted
CVIU
2008
15 years 4 months ago
2008
A key problem in video content analysis using dynamic graphical models is to learn a suitable model structure given some observed visual data. We propose a Completed Likelihood AI...
144
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ICC
2008
IEEE
15 years 10 months ago
2008
IEEE
—We consider opportunistic communications over multiple channels where the state (“good” or “bad”) of each channel evolves as independent and identically distributed Mark...
135
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NN
1997
Springer
15 years 8 months ago
1997
Springer
Bayesian networks are directed acyclic graphs that represent dependencies between variables in a probabilistic model. Many time series models, including the hidden Markov models (H...
144
Voted
ICASSP
2009
IEEE
15 years 10 months ago
2009
IEEE
This paper presents a novel method for training hidden Markov models (HMMs) for use in HMM-based speech synthesis. The primary goal of HMM parameter optimization is to ensure that...
149
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SIGMETRICS
2010
ACM
15 years 8 months ago
2010
ACM
We define CWS, a non-preemptive scheduling policy for workloads with correlated job sizes. CWS tackles the scheduling problem by inferring the expected sizes of upcoming jobs bas...