Gaussian Process Regression for Sensor Networks Under Localization Uncertainty


In this paper, we formulate Gaussian process regression with observations under the localization uncertainty due to the resource-constrained sensor networks. In our formulation, effects of observations, measurement noise, localization uncertainty, and prior distributions are all correctly incorporated in the posterior predictive statistics. The analytically… (More)
DOI: 10.1109/TSP.2012.2223695


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Citations per Year

Citation Velocity: 14

Averaging 14 citations per year over the last 3 years.

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