Misalignment Recognition in Acoustic Sensor Networks Using a Semi-Supervised Source Estimation Method and Markov Random Fields

ICASSP 2021 - 2021 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) ◽

10.1109/icassp39728.2021.9413765 ◽

2021 ◽

Author(s):

Gabriel F Miller ◽

Andreas Brendel ◽

Walter Kellermann ◽

Sharon Gannot

Keyword(s):

Sensor Networks ◽

Random Fields ◽

Markov Random Fields ◽

Estimation Method ◽

Acoustic Sensor ◽

Source Estimation ◽

Markov Random ◽

Acoustic Sensor Networks

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On a parameter estimation method for Gibbs-Markov random fields

IEEE Transactions on Pattern Analysis and Machine Intelligence ◽

10.1109/34.277597 ◽

1994 ◽

Vol 16 (4) ◽

pp. 424-430 ◽

Author(s):

M.I. Gurelli ◽

L. Onural

Keyword(s):

Parameter Estimation ◽

Random Fields ◽

Markov Random Fields ◽

Estimation Method ◽

Parameter Estimation Method ◽

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Large deviations analysis for the detection of 2D hidden Gauss-Markov random fields using sensor networks

2008 IEEE International Conference on Acoustics, Speech and Signal Processing ◽

10.1109/icassp.2008.4518504 ◽

2008 ◽

Author(s):

Youngchul Sung ◽

H. Vincent Poor ◽

Heejung Yu

Keyword(s):

Sensor Networks ◽

Large Deviations ◽

Random Fields ◽

Markov Random Fields ◽

Markov Random ◽

Gauss Markov Random Fields

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Collaborative Event Region Detection in Wireless Sensor Networks Using Markov Random Fields

2005 2nd International Symposium on Wireless Communication Systems ◽

10.1109/iswcs.2005.1547750 ◽

2005 ◽

Author(s):

Tsang-Yi Wang ◽

Chao-Tang Yu

Keyword(s):

Wireless Sensor Networks ◽

Sensor Networks ◽

Random Fields ◽

Markov Random Fields ◽

Wireless Sensor ◽

Region Detection ◽

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Spatial prediction with mobile sensor networks using Gaussian processes with built-in Gaussian Markov random fields

10.1016/j.automatica.2012.05.029 ◽

2012 ◽

Vol 48 (8) ◽

pp. 1735-1740 ◽

Author(s):

Yunfei Xu ◽

Jongeun Choi

Keyword(s):

Sensor Networks ◽

Gaussian Processes ◽

Random Fields ◽

Markov Random Fields ◽

Mobile Sensor Networks ◽

Spatial Prediction ◽

Mobile Sensor ◽

Gaussian Markov Random Fields ◽

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Efficient Bayesian spatial prediction with mobile sensor networks using Gaussian Markov random fields

2012 American Control Conference (ACC) ◽

10.1109/acc.2012.6315013 ◽

2012 ◽

Author(s):

Yunfei Xu ◽

Jongeun Choi ◽

S. Dass ◽

T. Maiti

Keyword(s):

Sensor Networks ◽

Random Fields ◽

Markov Random Fields ◽

Mobile Sensor Networks ◽

Spatial Prediction ◽

Mobile Sensor ◽

Gaussian Markov Random Fields ◽

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Kernel-based Markov random fields learning for wireless sensor networks

2011 IEEE 36th Conference on Local Computer Networks ◽

10.1109/lcn.2011.6115175 ◽

2011 ◽

Author(s):

Wei Zhao ◽

Yao Liang

Keyword(s):

Wireless Sensor Networks ◽

Sensor Networks ◽

Random Fields ◽

Markov Random Fields ◽

Wireless Sensor ◽

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Efficient Bayesian spatial prediction with mobile sensor networks using Gaussian Markov random fields

10.1016/j.automatica.2013.09.008 ◽

2013 ◽

Vol 49 (12) ◽

pp. 3520-3530 ◽

Author(s):

Yunfei Xu ◽

Jongeun Choi ◽

Sarat Dass ◽

Tapabrata Maiti

Keyword(s):

Sensor Networks ◽

Random Fields ◽

Markov Random Fields ◽

Mobile Sensor Networks ◽

Spatial Prediction ◽

Mobile Sensor ◽

Gaussian Markov Random Fields ◽

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An Effective Markov Random Fields based Estimation of Distribution Algorithm and Scheduling of Flexible Job Shop Problem

IEEJ Transactions on Electronics Information and Systems ◽

10.1541/ieejeiss.134.796 ◽

2014 ◽

Vol 134 (6) ◽

pp. 796-805 ◽

Author(s):

Xinchang Hao ◽

Jing Tian ◽

Hao Wen Lin ◽

Tomohiro Murata

Keyword(s):

Random Fields ◽

Markov Random Fields ◽

Job Shop ◽

Estimation Of Distribution Algorithm ◽

Flexible Job Shop ◽

Markov Random ◽

Estimation Of Distribution ◽

Flexible Job Shop Problem

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Energy-efficient Routing Protocol Based on Spatial Wakeup for Underwater Acoustic Sensor Networks

JOURNAL OF ELECTRONICS INFORMATION TECHNOLOGY ◽

10.3724/sp.j.1146.2010.01090 ◽

2011 ◽

Vol 33 (6) ◽

pp. 1326-1331 ◽

Author(s):

Yong-xin Zhong ◽

Jian-guo Huang ◽

Jing Han

Keyword(s):

Sensor Networks ◽

Routing Protocol ◽

Energy Efficient ◽

Acoustic Sensor ◽

Underwater Acoustic Sensor Networks ◽

Energy Efficient Routing ◽

Underwater Acoustic ◽

Acoustic Sensor Networks

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Sampling from Gaussian Markov random fields conditioned on linear constraints

ANZIAM Journal ◽

10.21914/anziamj.v48i0.131 ◽

2008 ◽

Vol 48 ◽

pp. 1041 ◽

Author(s):

Daniel Peter Simpson ◽

Ian W. Turner ◽

A. N. Pettitt

Keyword(s):

Random Fields ◽

Markov Random Fields ◽

Linear Constraints ◽

Gaussian Markov Random Fields ◽

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