Spatial Sensor Selection via Gaussian Markov Random Fields (original) (raw)

Efficient Spatial Prediction Using Gaussian Markov Random Fields Under Uncertain Localization

Jongeun Choi

Volume 3: Renewable Energy Systems; Robotics; Robust Control; Single Track Vehicle Dynamics and Control; Stochastic Models, Control and Algorithms in Robotics; Structure Dynamics and Smart Structures;, 2012

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Mobile Robotic Wireless Sensor Networks for Efficient Spatial Prediction

Linh Nguyen

IEEE/RSJ International Conference on Intelligent Robots and Systems, 2014

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Adaptive Sampling for Spatial Prediction in Wireless Sensor Networks

Linh Nguyen

Open Publications of UTS Scholars, 2014

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Fully Bayesian Prediction Algorithms for Mobile Robotic Sensors under Uncertain Localization Using Gaussian Markov Random Fields

Jongeun Choi

Sensors

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Active Learning of Gaussian Processes for Spatial Functions in Mobile Sensor Networks

Dongbing Gu

Proceedings of the 18th IFAC World Congress, 2011

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Sparse Gaussian Process for Spatial Function Estimation with Mobile Sensor Networks

Dongbing Gu

2012 Third International Conference on Emerging Security Technologies, 2012

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Comparison of Sensor Selection Methods for Markov Localization

Weihong Zhang

2006 9th International Conference on Information Fusion, 2006

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Near-Optimal Sensor Placements in Gaussian Processes: Theory, Efficient Algorithms and Empirical Studies

Andreas Krause

Journal of Machine Learning Research, 2008

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Locational Optimization based Sensor Placement for Monitoring Gaussian Processes Modeled Spatial Phenomena

Linh Nguyen

IEEE Conference on Industrial Electronics and Applications, 2013

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Spatio-temporal random fields: compressible representation and distributed estimation

Katharina Morik

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Sensor Placement in Gaussian Random Field Via Discrete Simulation Optimization

Rick S Blum

IEEE Signal Processing Letters, 2000

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Distributed estimation and detection for sensor networks using hidden Markov random field models

Benhong Zhang, Aleksandar Dogandžić

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An extension of Bayesian algorithm into gaussian processes for predicting sensor network

Obeten Ekabua

Journal of Statistics & Management Systems, 2008

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Spatial function estimation using Gaussian process with sparse history data in mobile sensor networks

Dongbing Gu

2012 4th Computer Science and Electronic Engineering Conference (CEEC), 2012

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Optimal Network Designs for Spatial Prediction

Simone Di Zio

2014

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Sensor Selection Based Routing for Monitoring Gaussian Processes Modeled Spatial Phenomena

Linh Nguyen

Proceedings of Australasian Conference on Robotics and Automation, 2012

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Efficient spatial classification using decoupled conditional random fields

Intan Multiana

Knowledge Discovery in Databases: PKDD …, 2006

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Learning Sensor Network Topology through Monte Carlo Expectation Maximization

Dimitri Marinakis

Proceedings of the 2005 IEEE International Conference on Robotics and Automation, 2005

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Spatial Gaussian process regression with mobile sensor networks

Dongbing Gu

IEEE transactions on neural networks and learning systems, 2012

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Bayesian Spatial Field Reconstruction With Unknown Distortions in Sensor Networks

Qikun Xiang

IEEE Transactions on Signal Processing, 2020

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Near-optimal sensor placements: maximizing information while minimizing communication cost

Andreas Krause

2006

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Adaptive Placement for Mobile Sensors in Spatial Prediction under Locational Errors

Linh Nguyen

IEEE Sensors Journal, 2017

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Approximate computational approaches for Bayesian sensor placement in high dimensions

Asif Chowdhury

Information Fusion, 2019

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Information-Theoretic Performance Analysis of Sensor Networks via Markov Modeling of Time Series Data

Thomas Wettergren

IEEE transactions on cybernetics, 2018

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Bayesian optimization for sensor set selection

Mark Ebden

2010

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Sensing capacity for markov random fields

Pradeep Khosla

Information Theory, 2005. ISIT …, 2005

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Simulated Annealing based Approach for Near-Optimal Sensor Selection in Gaussian Processes

Linh Nguyen

IEEE International Conference on Control, Automation and Information Sciences, 2012

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Decentralized random-field estimation for sensor networks using quantized spatially correlated data and fusion-center feedback

Aleksandar Dogandžić

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A sparse undersea sensor network decision support system based on spatial and temporal random field

Thomas Wettergren

Proceedings of SPIE, 2007

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