1084 search results - page 25 / 217 » Hidden Markov Models with Multiple Observation Processes |
ICML
2010
IEEE
15 years 26 days ago
2010
IEEE
Hidden Markov Models (HMMs) are important tools for modeling sequence data. However, they are restricted to discrete latent states, and are largely restricted to Gaussian and disc...
105
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ICIAR
2009
Springer
15 years 4 months ago
2009
Springer
A self-adaptive Hidden Markov Model (SA-HMM) based framework is proposed for behavior recognition in this paper. In this model, if an unknown sequence cannot be classified into an...
117
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PE
2002
Springer
14 years 11 months ago
2002
Springer
In this paper, we study the use of continuous-time hidden Markov models (CT-HMMs) for network protocol and application performance evaluation. We develop an algorithm to infer the...
117
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COLING
2008
15 years 1 months ago
2008
This paper explores the use of the homotopy method for training a semi-supervised Hidden Markov Model (HMM) used for sequence labeling. We provide a novel polynomial-time algorith...
DATE
2005
IEEE
15 years 5 months ago
2005
IEEE
This paper explores methods for hardware acceleration of Hidden Markov Model (HMM) decoding for the detection of persons in still images. Our architecture exploits the inherent st...