Hidden semi-Markov model

Known as: HSMM 
A hidden semi-Markov model (HSMM) is a statistical model with the same structure as a hidden Markov model except that the unobservable process is… (More)
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Papers overview

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2017
2017
Segmentation and labeling of high dimensional time series data has wide applications in behavior understanding and medical… (More)
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Highly Cited
2013
Highly Cited
2013
There is much interest in the Hierarchical Dirichlet Process Hidden Markov Model (HDP-HMM) as a natural Bayesian nonparametric… (More)
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2008
2008
In this paper, hidden semi-Markov model (HSMM) is introduced into intrusion detection. Hidden Markov model (HMM) has been applied… (More)
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Highly Cited
2007
Highly Cited
2007
Recently, a statistical speech synthesis system based on the hidden Markov model (HMM) has been proposed. In this system… (More)
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Highly Cited
2007
Highly Cited
2007
Recognizing human activity from a stream of sensory observations is important for a number of applications such as surveillance… (More)
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Highly Cited
2007
Highly Cited
2007
A proactive handling of faults requires that the risk of upcoming failures is continuously assessed. One of the promising… (More)
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Highly Cited
2005
Highly Cited
2005
This paper addresses the problem of learning and recognizing human activities of daily living (ADL), which is an important… (More)
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2005
2005
The semantic interpretation of video sequences by computer is often formulated as probabilistically relating lower-level features… (More)
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Highly Cited
2004
Highly Cited
2004
In the present paper, a hidden-semi Markov model (HSMM) based speech synthesis system is proposed. In a hidden Markov model (HMM… (More)
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Highly Cited
2002
Highly Cited
2002
A semi-Markov HMM (more properly called a hidden semi-Markov model, or HSMM) is like an HMM except each state can emit a sequence… (More)
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