<p>(A), Confusion matrix of the performance of the SVM with NASs on the KTH dataset. The average accuracy is 92.7%. (B), Confusion matrix of the performance of the SVM with NASs on the Weizmann dataset. The average accuracy is 96.7%.</p
The confusion matrix representing the computed classification accuracy % for the proposed research w...
<p>Confusion matrix (sensitivity and specificity are in bold) and overall accuracy for the optimal p...
The colours of the heat map correspond to the percentage of classification in each category. The acc...
<p>(A), Confusion matrix of the model performance on the dataset of 15 scenes. The average accuracy ...
<p>The classification precision and recall values are shown for each class in all the tables. The ce...
<p>Confusion matrices with average classification accuracy using the calibration data for GMM-2 and ...
<p>Confusion matrix for the classifiers of RF, SVM, and WKNN using the input dataset with all the pr...
<p>These are NB (A) and SVM-R (B). The color code indicates average accuracy per composition (the hi...
The correctly classified data is reflected along the diagonal regions. The misclassified is reflecte...
<p>(UA, user’s accuracy; PA, producer’s accuracy; OA, overall accuracy; Kappa, Kappa statistics; UNC...
The area of each square represents the value of each matrix entry. Values are counts averaged across...
The confusion matrix representing the computed classification accuracy % for the proposed research w...
<p>Confusion matrices obtained using two different frame lengths at preferred speed <i>v</i> = 2<i>p...
<p>Confusion matrix for classification by the statistical models versus the empirical models.</p
<p>The confusion matrices of a) Tabassian’s method, and b) proposed method for the artificial datase...
The confusion matrix representing the computed classification accuracy % for the proposed research w...
<p>Confusion matrix (sensitivity and specificity are in bold) and overall accuracy for the optimal p...
The colours of the heat map correspond to the percentage of classification in each category. The acc...
<p>(A), Confusion matrix of the model performance on the dataset of 15 scenes. The average accuracy ...
<p>The classification precision and recall values are shown for each class in all the tables. The ce...
<p>Confusion matrices with average classification accuracy using the calibration data for GMM-2 and ...
<p>Confusion matrix for the classifiers of RF, SVM, and WKNN using the input dataset with all the pr...
<p>These are NB (A) and SVM-R (B). The color code indicates average accuracy per composition (the hi...
The correctly classified data is reflected along the diagonal regions. The misclassified is reflecte...
<p>(UA, user’s accuracy; PA, producer’s accuracy; OA, overall accuracy; Kappa, Kappa statistics; UNC...
The area of each square represents the value of each matrix entry. Values are counts averaged across...
The confusion matrix representing the computed classification accuracy % for the proposed research w...
<p>Confusion matrices obtained using two different frame lengths at preferred speed <i>v</i> = 2<i>p...
<p>Confusion matrix for classification by the statistical models versus the empirical models.</p
<p>The confusion matrices of a) Tabassian’s method, and b) proposed method for the artificial datase...
The confusion matrix representing the computed classification accuracy % for the proposed research w...
<p>Confusion matrix (sensitivity and specificity are in bold) and overall accuracy for the optimal p...
The colours of the heat map correspond to the percentage of classification in each category. The acc...
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