1084 search results - page 49 / 217 » Hidden Markov Models with Multiple Observation Processes |
108
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NIPS
2004
15 years 1 months ago
2004
Multiple realizations of continuous-valued time series from a stochastic process often contain systematic variations in rate and amplitude. To leverage the information contained i...
APPROX
2008
Springer
15 years 1 months ago
2008
Springer
Abstract. Markov random fields are often used to model high dimensional distributions in a number of applied areas. A number of recent papers have studied the problem of reconstruc...
115
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IBPRIA
2009
Springer
14 years 9 months ago
2009
Springer
We propose a novel statistical method for motion detection and background maintenance for a mobile observer. Our method is based on global motion estimation and statistical backgro...
NIPS
1994
15 years 1 months ago
1994
We introduce a recurrent architecture having a modular structure and we formulate a training procedure based on the EM algorithm. The resulting model has similarities to hidden Ma...
107
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ICML
2000
IEEE
16 years 19 days ago
2000
IEEE
Hidden Markov models (HMMs) are a powerful probabilistic tool for modeling sequential data, and have been applied with success to many text-related tasks, such as part-of-speech t...