Search Results for author:
Found 2 papers, 0 papers with code
Decentralized Learning of Tree-Structured Gaussian Graphical Models from Noisy Data
This paper studies the decentralized learning of tree-structured Gaussian graphical models (GGMs) from noisy data.
Decentralized Source Localization without Sensor Parameters in Wireless Sensor Networks
However, we propose two methods to estimate the source location in this paper under the fault model: hitting set approach and feature selection method, which only utilize the noisy data set at the fusion center for estimation of the source location without knowing the sensor parameters.
Cannot find the paper you are looking for? You can
Submit a new open access paper.
