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Hidden Markov model

Known as: Hidden Markov models, Poisson hidden markov model, Hidden Markov Chain 
A hidden Markov model (HMM) is a statistical Markov model in which the system being modeled is assumed to be a Markov process with unobserved (hidden… 
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Papers overview

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Highly Cited
2005
Highly Cited
2005
This book is a comprehensive treatment of inference for hidden Markov models, including both algorithms and statistical theory… 
Highly Cited
2004
Highly Cited
2004
Hidden Markov models (HMMs) have proven to be one of the most widely used tools for learning probabilistic models of time series… 
Review
1998
Review
1998
We describe the maximum-likelihood parameter estimation problem and how the ExpectationMaximization (EM) algorithm can be used… 
Highly Cited
1995
Highly Cited
1995
Abstract A method of speaker adaptation for continuous density hidden Markov models (HMMs) is presented. An initial speaker… 
Highly Cited
1994
Highly Cited
1994
Hidden Markov Model Processing.- Discrete-Time HMM Estimation.- Discrete States and Discrete Observations.- Continuous-Range… 
Highly Cited
1992
Highly Cited
1992
A human action recognition method based on a hidden Markov model (HMM) is proposed. It is a feature-based bottom-up approach that… 
Highly Cited
1991
Highly Cited
1991
The use of hidden Markov models for speech recognition has become predominant in the last several years, as evidenced by the… 
Review
1989
Review
1989
The fabric comprises a novel type of netting which will have particular utility in screening out mosquitoes and like insects and… 
Review
1986
Review
1986
The basic theory of Markov chains has been known to mathematicians and engineers for close to 80 years, but it is only in the… 
Highly Cited
1986
Highly Cited
1986
A method for estimating the parameters of hidden Markov models of speech is described. Parameter values are chosen to maximize…