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Hierarchical hidden Markov model

Known as: HHMM 
The hierarchical hidden Markov model (HHMM) is a statistical model derived from the hidden Markov model (HMM). In an HHMM each state is considered to… Expand
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Papers overview

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2018
2018
Correctly anticipating load characteristics of low voltage level is getting increased interest by distribution network operators… Expand
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Highly Cited
2009
Highly Cited
2009
Audio is a useful modality complement to video for healthcare monitoring. In this paper, we investigate the use of Hierarchical… Expand
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2009
2009
In this paper we present the Infinite Hierarchical Hidden Markov Model (IHHMM), a nonparametric generalization of Hierarchical… Expand
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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… Expand
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Highly Cited
2005
Highly Cited
2005
Directly modeling the inherent hierarchy and shared structures of human behaviors, we present an application of the hierarchical… Expand
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2005
2005
In this paper we introduce a probabilistic framework to exploit hierarchy, structure sharing and duration information for topic… Expand
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Highly Cited
2004
Highly Cited
2004
We introduce, analyze and demonstrate a recursive hierarchical generalization of the widely used hidden Markov models, which we… Expand
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Highly Cited
2003
Highly Cited
2003
Information extraction can be defined as the task of automatically extracting instances of specified classes or relations from… Expand
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Highly Cited
2003
Highly Cited
2003
This paper presents a unified approach for Chinese lexical analysis using hierarchical hidden Markov model (HHMM), which aims to… Expand
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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… Expand
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