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… (More)
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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… (More)
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2009
2009
In this paper we present the Infinite Hierarchical Hidden Markov Model (IHHMM), a nonparametric generalization of Hierarchical… (More)
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2009
2009
Audio is a useful modality complement to video for healthcare monitoring. In this paper, we investigate the use of Hierarchical… (More)
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2006
2006
Rushes footage are considered as cheap gold mine with the potential for reuse in broadcasting and filmmaking industries. However… (More)
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2006
2006
This paper presents an anomaly detection approach to detect intrusions into computer systems. In this approach, a hierarchical… (More)
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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… (More)
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2005
2005
In building a surveillance system for monitoring people behaviours, it is important to understand the typical patterns of people… (More)
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2004
2004
This paper proposes a wavelet-domain hierarchical hidden Markov model for an unsupervised texture segmentation. Based on a hybrid… (More)
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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… (More)
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Highly Cited
1998
Highly Cited
1998
We introduce, analyze and demonstrate a recursive hierarchical generalization of the widely used hidden Markov models, which we… (More)
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