The best accuracy and number of selected minimum features by adaptive HD method.</p
Accuracy evolution, using all relevant visual, descriptors and audio features for 50 epochs.</p
The average attributes value of four feature selection algorithms based on eight datasets.</p
<p>The figure shows the error rate of SVM vs. top ranked discriminant time-frequency features. Simil...
<p>Best classification accuracies and number of features to produce accuracies.</p
<p>The number of features in the optimal feature set for each dataset and the MCC values obtained by...
Comparison of accuracy of best machine-learners on various feature categories.</p
(a) Adptive Hausdorff Distance of IMFs of AS, MS, MR, MVP; (b) Adptive Hausdorff Distance of IMFs of...
<p>The largest accuracy value and the smallest feature numbers are highlighted in bold for each clas...
<p>Selected number of features showing the best training performance on Dset650.</p
Comparison of accuracy and feature dimension under different methods based on tree.</p
<p>The classification accuracy for various feature subsets, averaged over all the class definitions....
Comparison of normalized feature range between manual and semi-automatic methods using z-score norma...
<p>Comparison of accuracy rate of different features extracted with classification algorithms.</p
A list of all 64 variables used in the features selection along with the best features of size 15 an...
Comparison of accuracy for different approaches, where small value indicates good performance and bo...
Accuracy evolution, using all relevant visual, descriptors and audio features for 50 epochs.</p
The average attributes value of four feature selection algorithms based on eight datasets.</p
<p>The figure shows the error rate of SVM vs. top ranked discriminant time-frequency features. Simil...
<p>Best classification accuracies and number of features to produce accuracies.</p
<p>The number of features in the optimal feature set for each dataset and the MCC values obtained by...
Comparison of accuracy of best machine-learners on various feature categories.</p
(a) Adptive Hausdorff Distance of IMFs of AS, MS, MR, MVP; (b) Adptive Hausdorff Distance of IMFs of...
<p>The largest accuracy value and the smallest feature numbers are highlighted in bold for each clas...
<p>Selected number of features showing the best training performance on Dset650.</p
Comparison of accuracy and feature dimension under different methods based on tree.</p
<p>The classification accuracy for various feature subsets, averaged over all the class definitions....
Comparison of normalized feature range between manual and semi-automatic methods using z-score norma...
<p>Comparison of accuracy rate of different features extracted with classification algorithms.</p
A list of all 64 variables used in the features selection along with the best features of size 15 an...
Comparison of accuracy for different approaches, where small value indicates good performance and bo...
Accuracy evolution, using all relevant visual, descriptors and audio features for 50 epochs.</p
The average attributes value of four feature selection algorithms based on eight datasets.</p
<p>The figure shows the error rate of SVM vs. top ranked discriminant time-frequency features. Simil...
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