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Found 3 papers, 1 papers with code
False Discovery Rate Control for Gaussian Graphical Models via Neighborhood Screening
Unfortunately, well-established estimators, such as the graphical lasso or neighborhood selection, are known to be susceptible to a high prevalence of false edge detections.
Accelerated Sample-Accurate R-Peak Detectors Based on Visibility Graphs
Further acceleration is obtained by adopting the computationally efficient horizontal visibility graph, which has not yet been used for R-peak detection.
Shuffled Multi-Channel Sparse Signal Recovery
Assuming that we have a sensing matrix for the underlying signals, we show that the problem is equivalent to a structured unlabeled sensing problem, and establish sufficient conditions for unique recovery.
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