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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… 
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Papers overview

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Highly Cited
2019
Highly Cited
2019
In the last few years there has been a growing interest in Human activity recognition (HAR) topic. Sensor-based HAR approaches… 
Highly Cited
2015
Highly Cited
2015
Recommender systems help users find items of interest by tailoring their recommendations to users' personal preferences. The… 
2014
2014
The mathematical model of a stochastic hierarchical structure is presented and several problems of statistical estimation in case… 
2012
2012
Hierarchical Hidden Markov Models (HHMMs) are sophisticated stochastic models that enable us to capture a hierarchical context… 
2009
2009
In this paper we present the Infinite Hierarchical Hidden Markov Model (IHHMM), a nonparametric generalization of Hierarchical… 
Highly Cited
2009
Highly Cited
2009
This paper presents a robust location-aware activity recognition approach for establishing ambient intelligence applications in a… 
2005
2005
In this paper we attempt to demonstrate the strengths of Hierarchical Hidden Markov Models (HHMMs) in the representation and… 
2005
2005
A hierarchical hidden Markov model (HHMM) based approach of product named entity recognition (NER) from Chinese free text is… 
Highly Cited
2004
Highly Cited
2004
The hierarchical hidden Markov model (HHMM) is an extension of the hidden Markov model to include a hierarchy of the hidden… 
2004
2004
This paper proposes a wavelet-domain hierarchical hidden Markov model for an unsupervised texture segmentation. Based on a hybrid…