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The Quality of the Covariance Selection through Detection Problem and AUC Bounds

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Academic year: 2020

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Figure

Figure 1. (a) The complete graph; (b) The tree approximation of the complete graph.
Figure 2. The ROC curve and the area under the ROC curve. Each point on the ROC curve indicates adetector with given detection and false-alarm probabilities.
Figure 3. Possible feasible region for the AUC and the Kl divergence pair for all possible detectors orequivalently all possible ROC curves (the KL divergence is between the LLRT statistics under differenthypotheses, i.e
Figure 4 shows the possible feasible region and the asymptotic behavior log-scale. As it is shown
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