<p>Quantitative results (MEANS±SDs) associated with different algorithms on cross-validation.</p
Statistical analysis and comparison of the optimum results obtained by three algorithms.</p
<p>Quantitative demosaicing result (in dB PSNR) for the different demosaicing algorithms on the Koda...
<p>10-Fold Cross Validation Accuracies of the classifiers applied to the Artificial dataset.</p
<p>Quantitative results associated with different algorithms for the abdominal image.</p
Cross-validation test results for the context-specific algorithms under study.</p
<p>Quantitative results by different super-resolution algorithms (factor = 2).</p
<p>Quantitative results by different super-resolution algorithms (factor = 3).</p
Quantitative comparison between the state-of-the-art SR algorithms on 3 test datasets.</p
<p>The prediction results compared with other methods on the training dataset using 10-fold cross-va...
<p>Cross-validation accuracies of reaction difference fingerprints with different lengths.</p
<p>The average results for correct and incorrect percentage for each category by cumulative cross-va...
<p>Quantitative results of the leave-one-out cross evaluation of the twelve SVM models.</p
The quantitative comparison of our approach with three related works for segmentation on the two dat...
<p>Quantitative reproducibility of standards with or without IS across triplicates.</p
<p>Cross-validation results on the Wheat (CIMMYT) dataset, averaged across 4 traits.</p
Statistical analysis and comparison of the optimum results obtained by three algorithms.</p
<p>Quantitative demosaicing result (in dB PSNR) for the different demosaicing algorithms on the Koda...
<p>10-Fold Cross Validation Accuracies of the classifiers applied to the Artificial dataset.</p
<p>Quantitative results associated with different algorithms for the abdominal image.</p
Cross-validation test results for the context-specific algorithms under study.</p
<p>Quantitative results by different super-resolution algorithms (factor = 2).</p
<p>Quantitative results by different super-resolution algorithms (factor = 3).</p
Quantitative comparison between the state-of-the-art SR algorithms on 3 test datasets.</p
<p>The prediction results compared with other methods on the training dataset using 10-fold cross-va...
<p>Cross-validation accuracies of reaction difference fingerprints with different lengths.</p
<p>The average results for correct and incorrect percentage for each category by cumulative cross-va...
<p>Quantitative results of the leave-one-out cross evaluation of the twelve SVM models.</p
The quantitative comparison of our approach with three related works for segmentation on the two dat...
<p>Quantitative reproducibility of standards with or without IS across triplicates.</p
<p>Cross-validation results on the Wheat (CIMMYT) dataset, averaged across 4 traits.</p
Statistical analysis and comparison of the optimum results obtained by three algorithms.</p
<p>Quantitative demosaicing result (in dB PSNR) for the different demosaicing algorithms on the Koda...
<p>10-Fold Cross Validation Accuracies of the classifiers applied to the Artificial dataset.</p
DOI
Add to ORKG