Comparison of accuracy for different approaches based on multi-scale descriptors, where small value indicates accurate registration and bold number denotes the best results.</p
Comparisons of average classifier precision with existing FS methods [29, 37, 39, 48].</p
Comparison of accuracy and feature dimension under different methods based on MIC.</p
Comparison of accuracy and feature dimension under different methods based on QPFS.</p
Comparison of accuracy for different approaches, where small value indicates good performance and bo...
Comparison of classification accuracy while using different sizes of vocabulary.</p
<p>Comparison of accuracy rate of different features extracted with classification algorithms.</p
<p>Values are F1-score (recall/precision) (%)</p><p>Comparison of two methods in term recognition: r...
<p>Classification accuracy comparison of the proposed research with the state-of-the-art methods.</p
The mean classification accuracy comparison while using different sizes of visual vocabulary for 15-...
Comparison with existing research in-terms of classification accuracy while using 15-scene image dat...
Comparison of accuracy and feature dimension under different methods based on mRMR.</p
<p>Comparison of the average precision rates, recall rates and F1 values for the different classific...
Comparison of accuracy and feature dimension under different methods based on tree.</p
Comparison of accuracy and feature dimension under different methods based on RFECV.</p
<p>Accuracy percentages of six different classifiers used after the first selection stage in 10-fold...
Comparisons of average classifier precision with existing FS methods [29, 37, 39, 48].</p
Comparison of accuracy and feature dimension under different methods based on MIC.</p
Comparison of accuracy and feature dimension under different methods based on QPFS.</p
Comparison of accuracy for different approaches, where small value indicates good performance and bo...
Comparison of classification accuracy while using different sizes of vocabulary.</p
<p>Comparison of accuracy rate of different features extracted with classification algorithms.</p
<p>Values are F1-score (recall/precision) (%)</p><p>Comparison of two methods in term recognition: r...
<p>Classification accuracy comparison of the proposed research with the state-of-the-art methods.</p
The mean classification accuracy comparison while using different sizes of visual vocabulary for 15-...
Comparison with existing research in-terms of classification accuracy while using 15-scene image dat...
Comparison of accuracy and feature dimension under different methods based on mRMR.</p
<p>Comparison of the average precision rates, recall rates and F1 values for the different classific...
Comparison of accuracy and feature dimension under different methods based on tree.</p
Comparison of accuracy and feature dimension under different methods based on RFECV.</p
<p>Accuracy percentages of six different classifiers used after the first selection stage in 10-fold...
Comparisons of average classifier precision with existing FS methods [29, 37, 39, 48].</p
Comparison of accuracy and feature dimension under different methods based on MIC.</p
Comparison of accuracy and feature dimension under different methods based on QPFS.</p