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Table 1 lists the classification of the methods on depth map generation.
In this article, we just compare the Futures Map frame and the classification of the methods suggested by Cuhls [10].
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After a suite of reasonable test, this method can recognize traffic state all-day in real-time, and the classification of the method can achieve a higher coincide ratio with human classification.
The artefacts that are visible on the original FBP image (Figure 3A) are clearly affecting the classification of the kinetic-filtering method (Figure 2A).
A summary of the methods for the classification of the level of evidence is shown in Table 1[ 1[].
The first classification of the methods is done according to whether a coordinating node or fusion center (FC) is present.
Even the classification of methods is fair game.
The classification performance of the methods is presented.
Our experiments suggest that data characteristics considerably impact the classification performance of the methods.
So it can objectively test the classification performances of the methods.
This problem reduces the classification accuracy of the methods, so gene selection is essential to improve the predictive accuracy and to identify potential marker genes for a disease.
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