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In the utilized methodology, CNN was used as a feature extractor, exhibiting high accuracy and low storage cost. SVM was combined with AdaBoost, serving as the weak classifier of AdaBoost. The assembly process was designed by SVM and AdaBoost hybridization. Two datasets were integrated and used...
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The correlation is especially prominent in the dependency parsing based feature extractor when detecting similarity in the application domain. On the other hand, VSM-based techniques failed to generate strong correlations, or indeed statistically significant ones. Table 7 RQ3: Spearman Rank correlation...
5, key input data is inputted to the pattern extractor 102. Moreover, in the registration mode, a key input pattern such as a few digits of a personal authentication number is registered in the pattern register 202. The matching determiner 103 matches the key input pattern from the pattern ...