Classification results of three classifiers using all acceleration sensors.
- Muhammad Arif (769250)
- Ahmed Kattan (774399)
Publication date
July 2015
DOIAbstract
<p>Classification results of three classifiers using all acceleration sensors.</p
<p>Classification results of three classifiers using all acceleration sensors.</p
<p>Classification performance achieved with different feature reduction techniques.</p
Results of the four classifiers for both the accuracy and f1-score when using a different number of ...
<p>Performance evaluation of various classifier and feature selection methods.</p
<p>Classification results of three classifiers using the acceleration sensor placed at dominant wris...
<p>The classification performances of the 3 best classifiers for the 3 datasets.</p
The performance comparison results for the three different classifiers using four indexes.</p
<p>Classification performances of the proposed method according to the number applied base classifie...
<p>Classification performance of the single metrics and multi-modal combinations.</p
<p>The performance of different classifiers associated with the attribute selection methods assessed...
Classification results for the four different feature sets (sensitivity/specificity), with 19 featur...
<p>Classification results of three methods (%). The highest results of each method are shown in bold...
<p>Classification results: each figure is the average of three independent experiments using differe...
<p>Results obtained from the AdaBoost classifier using colour model combination.</p
<p>The performances of the different classification algorithms as a function of the number of trials...
<p>Recognition rates and other parameters of the base classifiers for combining methods using three ...
<p>Classification performance achieved with different feature reduction techniques.</p
Results of the four classifiers for both the accuracy and f1-score when using a different number of ...
<p>Performance evaluation of various classifier and feature selection methods.</p
<p>Classification results of three classifiers using the acceleration sensor placed at dominant wris...
<p>The classification performances of the 3 best classifiers for the 3 datasets.</p
The performance comparison results for the three different classifiers using four indexes.</p
<p>Classification performances of the proposed method according to the number applied base classifie...
<p>Classification performance of the single metrics and multi-modal combinations.</p
<p>The performance of different classifiers associated with the attribute selection methods assessed...
Classification results for the four different feature sets (sensitivity/specificity), with 19 featur...
<p>Classification results of three methods (%). The highest results of each method are shown in bold...
<p>Classification results: each figure is the average of three independent experiments using differe...
<p>Results obtained from the AdaBoost classifier using colour model combination.</p
<p>The performances of the different classification algorithms as a function of the number of trials...
<p>Recognition rates and other parameters of the base classifiers for combining methods using three ...
<p>Classification performance achieved with different feature reduction techniques.</p
Results of the four classifiers for both the accuracy and f1-score when using a different number of ...
<p>Performance evaluation of various classifier and feature selection methods.</p
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