<p>Comparison of the recognition rates of the proposed method with some popular classifiers in the literature.</p
<p>A comparison of the training performance, test accuracy, and uncertainty among classifiers in var...
<p>The average recognition rates (%) and standard deviations (%) of different algorithms on LFW data...
Comparison of the classification accuracies of different algorithms and different feature fusion met...
<p>Comparison of classification rates between the proposed method and other methods.</p
<p>Recognition rates for different combining methods as well as the proposed method with different n...
<p>Comparison of the proposed algorithm with the state of the art methods available in literature.</...
<p>Comparison of accuracy rate of different features extracted with classification algorithms.</p
<p>Comparison of the average precision rates, recall rates and F1 values for the different classific...
Comparison of the proposed method with other conventional methods for throughput of each class.</p
<p>Comparison of the average classification accuracies of different algorithms for different numbers...
Comparison of the classification performance by the proposed network and other methods.</p
<p>Classification accuracy comparison of the proposed research with the state-of-the-art methods.</p
International audienceThe selection of the best classification algorithm for a given dataset is a ve...
<p>Recognition rates and other parameters of the base classifiers for combining methods using three ...
<p>Success rates and other statistical measures of the proposed method compared to other literature ...
<p>A comparison of the training performance, test accuracy, and uncertainty among classifiers in var...
<p>The average recognition rates (%) and standard deviations (%) of different algorithms on LFW data...
Comparison of the classification accuracies of different algorithms and different feature fusion met...
<p>Comparison of classification rates between the proposed method and other methods.</p
<p>Recognition rates for different combining methods as well as the proposed method with different n...
<p>Comparison of the proposed algorithm with the state of the art methods available in literature.</...
<p>Comparison of accuracy rate of different features extracted with classification algorithms.</p
<p>Comparison of the average precision rates, recall rates and F1 values for the different classific...
Comparison of the proposed method with other conventional methods for throughput of each class.</p
<p>Comparison of the average classification accuracies of different algorithms for different numbers...
Comparison of the classification performance by the proposed network and other methods.</p
<p>Classification accuracy comparison of the proposed research with the state-of-the-art methods.</p
International audienceThe selection of the best classification algorithm for a given dataset is a ve...
<p>Recognition rates and other parameters of the base classifiers for combining methods using three ...
<p>Success rates and other statistical measures of the proposed method compared to other literature ...
<p>A comparison of the training performance, test accuracy, and uncertainty among classifiers in var...
<p>The average recognition rates (%) and standard deviations (%) of different algorithms on LFW data...
Comparison of the classification accuracies of different algorithms and different feature fusion met...
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