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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
2010
Highly Cited
2010
This book is a comprehensive treatment of inference for hidden Markov models, including both algorithms and statistical theory… 
Review
2006
Review
2006
of the simple linear regression model. Multiple linear regression for two variables is discussed in Chapter 8, and that for more… 
Highly Cited
1998
Highly Cited
1998
Wavelet-based statistical signal processing techniques such as denoising and detection typically model the wavelet coefficients… 
Highly Cited
1997
Highly Cited
1997
We present algorithms for coupling and training hidden Markov models (HMMs) to model interacting processes, and demonstrate their… 
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
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
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… 
Highly Cited
1975
Highly Cited
1975
The objective of the project is to examine recent progress in two major areas of research – computer science and neuroscience…