<p>The mean accuracy values obtained over the 30 bootstrap iterations. Acc – is the overall accuracy, F – is the F-score, G – is the G-score. The highest values are highlighted in bold. NOTE: all the corresponding standard deviations are less than 0.02.</p><p>Classification performance.</p
<p>For each combination and metric, the mean and standard deviation values are shown. The best perfo...
<p>1 Correlations for the CoM-BoS distance.</p><p>2 Correlations for the CoMv-BoS displacement.</p><...
<p>Result on the average precision, recall, and F-measure with varying in the best case using featu...
Accuracy of Algorithm 1 on the synthetic datasets (left) and the KC dataset (right). Each line denot...
Recognition performance (mean accuracy ± standard deviation) of the VLADs with the k-means and ours ...
Recognition performance (mean accuracy ± standard deviation) of the FVs with the GMM and ours (soft ...
Recognition performance (mean accuracy ± standard deviation) of the FVs with the GMM and ours (soft ...
Recognition performance (mean accuracy ± standard deviation) of the VLADs with the k-means and ours ...
<p>Results are averaged from values for all datasets tested, i.e. datasets are accorded equal weight...
<p>For the MLR, ANN and RF methods, 95% confidence intervals of the difference between the indicator...
Comparison of accuracy for different approaches, where small value indicates good performance and bo...
<p>Performance for all classification algorithms over all peak picking and peak clustering algorithm...
<p>This indicates the extent that each metric can be used to predict performance.</p
<p>Mean classification accuracy across participants (and standard error) as a function of number of ...
<p>• statistically significant degradation</p><p>Accuracy of different algorithms on standard datase...
<p>For each combination and metric, the mean and standard deviation values are shown. The best perfo...
<p>1 Correlations for the CoM-BoS distance.</p><p>2 Correlations for the CoMv-BoS displacement.</p><...
<p>Result on the average precision, recall, and F-measure with varying in the best case using featu...
Accuracy of Algorithm 1 on the synthetic datasets (left) and the KC dataset (right). Each line denot...
Recognition performance (mean accuracy ± standard deviation) of the VLADs with the k-means and ours ...
Recognition performance (mean accuracy ± standard deviation) of the FVs with the GMM and ours (soft ...
Recognition performance (mean accuracy ± standard deviation) of the FVs with the GMM and ours (soft ...
Recognition performance (mean accuracy ± standard deviation) of the VLADs with the k-means and ours ...
<p>Results are averaged from values for all datasets tested, i.e. datasets are accorded equal weight...
<p>For the MLR, ANN and RF methods, 95% confidence intervals of the difference between the indicator...
Comparison of accuracy for different approaches, where small value indicates good performance and bo...
<p>Performance for all classification algorithms over all peak picking and peak clustering algorithm...
<p>This indicates the extent that each metric can be used to predict performance.</p
<p>Mean classification accuracy across participants (and standard error) as a function of number of ...
<p>• statistically significant degradation</p><p>Accuracy of different algorithms on standard datase...
<p>For each combination and metric, the mean and standard deviation values are shown. The best perfo...
<p>1 Correlations for the CoM-BoS distance.</p><p>2 Correlations for the CoMv-BoS displacement.</p><...
<p>Result on the average precision, recall, and F-measure with varying in the best case using featu...
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