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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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2006
2006
Ubiquitous systems use context information to adapt appliance behavior to human needs. Even more convenience is reached if the… 
2006
2006
Gait-based human identification is a challenging problem and has gained significant attention. In this paper, a new gait… 
Highly Cited
2003
Highly Cited
2003
In this paper, a new system for face recognition is proposed, based on hidden Markov models (HMM) and wavelet coding. A sequence… 
Highly Cited
2001
Highly Cited
2001
Hidden Markov trees in the wavelet domain are capable of accurately modeling the statistical behavior of real world signals by… 
2000
2000
The technique of hidden Markov models has been established as one of the most successful methods applied to the problem of speech… 
Highly Cited
1998
Highly Cited
1998
Robust speech recognition under varying acoustic conditions may be achieved by exploiting multiple sources of information in the… 
Highly Cited
1997
Highly Cited
1997
This paper introduces statistical parsing of video programs using hidden Markov models (HMMs). The fundamental units of a video… 
1995
1995
This paper addresses the problem of using noncausal hidden Markov models (HMMs) for texture classification. In noncausal models… 
Highly Cited
1991
Highly Cited
1991
A hidden Markov model (HMM)-based approach to mechanical system monitoring is presented. The resulting system is shown to be… 
Highly Cited
1989
Highly Cited
1989
A new model is developed for prediction and analysis of sensor information recorded during robotic performance of tasks by…