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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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Related topics

Related topics

50 relations
ApertiumBayesian programmingBioinformaticsBitext word alignment

Papers overview

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Highly Cited
2008
Highly Cited
2008
Beam sampling for the infinite hidden Markov model
The infinite hidden Markov model is a non-parametric extension of the widely used hidden Markov model. Our paper introduces a new… 
Highly Cited
2007
Highly Cited
2007
Mixed Hidden Markov Models
Hidden Markov models (HMMs) are a useful tool for capturing the behavior of overdispersed, autocorrelated data. These models have… 
Highly Cited
2005
Highly Cited
2005
Modeling and forecasting electricity prices with input/output hidden Markov models
In competitive electricity markets, in addition to the uncertainty of exogenous variables such as energy demand, water inflows… 
Highly Cited
2003
Highly Cited
2003
An efficient forward-backward algorithm for an explicit-duration hidden Markov model
Existing algorithms for estimating the model parameters of an explicit-duration hidden Markov model (HMM) usually require… 
Highly Cited
1999
Highly Cited
1999
Semi-tied covariance matrices for hidden Markov models
There is normally a simple choice made in the form of the covariance matrix to be used with continuous-density HMMs. Either a… 
Highly Cited
1998
Highly Cited
1998
Hidden Markov models for face recognition
  • A. NefianM. Hayes
  • Proceedings of the IEEE International Conference…
  • 1998
  • Corpus ID: 7040774
The work presented in this paper focuses on the use of hidden Markov models for face recognition. A new method based on the… 
Highly Cited
1995
Highly Cited
1995
Real-time American Sign Language recognition from video using hidden Markov models
Hidden Markov models (HMMs) have been used prominently and successfully in speech recognition and, more recently, in handwriting… 
Highly Cited
1990
Highly Cited
1990
Automatic recognition of keywords in unconstrained speech using hidden Markov models
The modifications made to a connected word speech recognition algorithm based on hidden Markov models (HMMs) which allow it to… 
Highly Cited
1990
Highly Cited
1990
Hidden Markov model decomposition of speech and noise
The problem of automatic speech recognition in the presence of interfering signals and noise with statistical characteristics… 
Highly Cited
1989
Highly Cited
1989
Continuous hidden Markov modeling for speaker-independent word spotting
A word-spotting system using Gaussian hidden Markov models is presented. Several aspects of this problem are investigated… 
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