<p>Confusion matrix for BoW. The numbers before slashes are results without partition, while the numbers after slashes are highest results with partition.</p
<p>Confusion matrix of a classifier based on the gold standard of class labels.</p
<p>Confusion matrix and overall performance of the classifier used to determine the sharpness of the...
Confusion matrix showing the results of the testing phase for the AlexNet neural network.</p
<p>Confusion matrix for BoW. The numbers before slashes are results without region augmentation, whi...
<p>Confusion matrix for intensity histogram. The numbers before slashes are results without partitio...
<p>Confusion matrix for GLCM-element. The numbers before slashes are results without partition, whil...
<p>Confusion matrix for intensity histogram. The numbers before slashes are results without region a...
<p>Confusion matrix for GLCM-element. The numbers before slashes are results without region augmenta...
<p>Confusion matrix of the classification results using a NaiveBayes classifier and cross validation...
Confusion matrixes and performance indexes for the bigram of postpositional particle words.</p
Confusion matrixes and performance indexes for the bigrams of parts-of-speech.</p
Confusion matrix of each model with different proportions of the training set.</p
<p>Confusion matrix of the classification results after automated correction.</p
Confusion matrix box for (A) Dataset-100, (B) Dataset-40, and (C) all datasets.</p
The diagonal values indicate the ratio of correct classifications for each digit, while off-diagonal...
<p>Confusion matrix of a classifier based on the gold standard of class labels.</p
<p>Confusion matrix and overall performance of the classifier used to determine the sharpness of the...
Confusion matrix showing the results of the testing phase for the AlexNet neural network.</p
<p>Confusion matrix for BoW. The numbers before slashes are results without region augmentation, whi...
<p>Confusion matrix for intensity histogram. The numbers before slashes are results without partitio...
<p>Confusion matrix for GLCM-element. The numbers before slashes are results without partition, whil...
<p>Confusion matrix for intensity histogram. The numbers before slashes are results without region a...
<p>Confusion matrix for GLCM-element. The numbers before slashes are results without region augmenta...
<p>Confusion matrix of the classification results using a NaiveBayes classifier and cross validation...
Confusion matrixes and performance indexes for the bigram of postpositional particle words.</p
Confusion matrixes and performance indexes for the bigrams of parts-of-speech.</p
Confusion matrix of each model with different proportions of the training set.</p
<p>Confusion matrix of the classification results after automated correction.</p
Confusion matrix box for (A) Dataset-100, (B) Dataset-40, and (C) all datasets.</p
The diagonal values indicate the ratio of correct classifications for each digit, while off-diagonal...
<p>Confusion matrix of a classifier based on the gold standard of class labels.</p
<p>Confusion matrix and overall performance of the classifier used to determine the sharpness of the...
Confusion matrix showing the results of the testing phase for the AlexNet neural network.</p