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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… Expand
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Papers overview

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Highly Cited
2008
Highly Cited
2008
Hidden Markov Model Processing.- Discrete-Time HMM Estimation.- Discrete States and Discrete Observations.- Continuous-Range… Expand
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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… Expand
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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… Expand
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Highly Cited
1999
Highly Cited
1999
A method for the representation, recognition, and interpretation of parameterized gesture is presented. By parameterized gesture… Expand
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Highly Cited
1998
Highly Cited
1998
Wavelet-based statistical signal processing techniques such as denoising and detection typically model the wavelet coefficients… Expand
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Highly Cited
1997
Highly Cited
1997
We present algorithms for coupling and training hidden Markov models (HMMs) to model interacting processes, and demonstrate their… Expand
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Highly Cited
1995
Highly Cited
1995
Abstract A method of speaker adaptation for continuous density hidden Markov models (HMMs) is presented. An initial speaker… Expand
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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… Expand
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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… Expand
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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… Expand
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