Results 211 to 220 of about 29,392 (243)

Hidden Semi-Markov Models for Semantic-Graph Language Modeling

Journal of the Franklin Institute
Semantic communication is expected to play a critical role in reducing traffic load in future intelligent large-scale sensor networks. With advances in Machine Learning (ML) and Deep Learning (DL) techniques, design of semantically-aware systems has become feasible in recent years.
Sadik Yagiz Yetim, Tolga M. Duman, Orhan Arikan   +2 more
openaire   +2 more sources

Online identification of hidden Semi-Markov models

3rd International Symposium on Image and Signal Processing and Analysis, 2003. ISPA 2003. Proceedings of the, 2004
Hidden Markov models (HMM) are a powerful tool in signal modelling. In an HMM, the probability that signal leaves a state is constant, and hence the duration that signal stays in each state has an exponential distribution. However, this exponential density is not appropriate for a large class of physical signals.
M. Azimi, P. Nasiopoulos, R.K. Ward
openaire   +1 more source

Using Hidden Semi-Markov Model for learning behavior in smarthomes

2015 IEEE International Conference on Automation Science and Engineering (CASE), 2015
Within the framework of demographic changes and the constraint of permanent growth of the elderly number in European population (i.e. France) which the health sector is confronted to, the detection of abnormal behaviors in the supervisory framework has known a particular interest during these last years.
Arnaud Paris, Selma Arbaoui, Nathalie Cislo, Adnen El-Amraoui, Nacim Ramdani   +4 more
openaire   +2 more sources

Reconstructing Individual Activity Trajectories by Hidden Semi-Markov Model

2018 26th International Conference on Geoinformatics, 2018
The individual trajectory of human activity collected through crowdsourcing implies the characteristic regularity of individual activity. There are always data gaps, and it introduces negative influence of individual activity pattern analyses. By extracting the internal regularity of known data, the incomplete relationship between location and time can
Zixuan Han, Zijian Wan, Wanyi Guo, Chang Ren   +3 more
openaire   +1 more source

The Centisecond Two Levels Hidden Semi Markov Model (CTLHSMM)

International Symposium on Parallel Computing in Electrical Engineering (PARELEC'06), 2006
A major deficiency of standard Hidden Markov Models (HMM) is that both the spectral and the prosodic feature are uniformly processed. To combine more efficiently the prosodic cues with the acoustic ones, a segmental two levels Hidden Markov Model has been recently studied by suaudeau [Suaudeau 94].
Abdellah Yousfi, Abdelouafi Meziane
openaire   +1 more source

On robust estimation of hidden semi-Markov regime-switching models

Annals of Operations Research
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Shanshan Qin, Zhenni Tan, Yuehua Wu
openaire   +2 more sources

Adaptive Training for Hidden Semi-Markov Model

Proceedings. (ICASSP '05). IEEE International Conference on Acoustics, Speech, and Signal Processing, 2005., 2006
Junichi Yamagishi, Takao Kobayashi
openaire   +1 more source

A time-efficient factorial hidden Semi-Markov model for non-intrusive load monitoring

Electric Power Systems Research, 2021
Huaiqing Zhang, Wenxiong Peng
exaly  

Human-robot collaboration empowered by hidden semi-Markov model for operator behaviour prediction in a smart assembly system

Journal of Manufacturing Systems, 2022
Chiuhsiang Joe Lin, Kung-Jeng Wang, Ahmed Abide Tadesse   +2 more
exaly  

ECG segmentation algorithm based on bidirectional hidden semi-Markov model

Computers in Biology and Medicine, 2022
Rui Huo, Liting Zhang, Feifei Liu
exaly