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Fig. 7 The result of classification by using the majority voting principle in the superpixel blocks.
Fig. 8 The result of classification for the example showed in Fig. 6.
Figure 2 shows the result of classification for some typical M2M applications according to this criterion.
For the emotion recognition, the activations of the unique pixels indeed determine the result of classification.
The result of classification and comparison among the proposals presented in this survey is resumed in Table 5.
For the facial recognition, the activations of the common pixels are decisive for the result of classification.
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However, they cannot interpret the results of classification to users.
There is no evidence of material inhomogeneity affecting the results of classification.
The results of classification were mapped by integrating both Geographic Information System (GIS) and statistical methods.
The results of classification, when all the samples were in the training set, are shown in table 6.
MMT analyzed the results of classification technique and calculated efficiency of classification in different noisy condition and concluded this research article.
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