In this subsection, we demonstrate through numerical experiments that the mismatched sparsity for a signal will degenerate the performance of the BIHT.
Considering the experimental results displayed in Fig. 3(a), as expected, all the algorithms tend to degenerate their performance as the labeling percentage provided in the training sets decays.
She calls the play a "degenerate musical performance".
For AlGaAs/GaAs axial NWs, by using AlGaAs for the top p-region instead of GaAs, we can allow a relatively long top region without degenerating device performance, which could facilitate the fabrication and contacting of NW solar cells.
From the discussion above, we can conclude that, using AlGaAs for the top p-region instead of GaAs, a relatively long top region can be employed without degenerating device performance.
In spite of characterizing concept drift, the main concern is that, most of the time, the variation in the underlying data distributions degenerates the performance of the classifier in use.
And for axial nanowire, by using AlGaAs for the top p segment, a relatively long top segment can be employed without degenerating device performance, which could facilitate the fabrication and contacting of nanowire array solar cells.
The main challenge lies in the difficulty of labeling sufficient training instances (vehicle rectangles) across all resolutions and imaging conditions of satellite images, which degenerates the performance of vehicle detectors trained correspondingly.
It is unclear whether or not the complexity of the model degenerated the performance of the models, especially for the log-binomial model.
We also demonstrated that ACGN may degenerate the tracking performance.
