Sentence examples for average recognition accuracy from inspiring English sources

Our results demonstrate that KCAR achieves an average recognition accuracy of 91%.

Initial experimental results have shown average recognition accuracy of 100% and 88.26% for simple and composite activities, respectively.

Results show that the average recognition accuracy of SRDSAN is higher than that of the SR and the convolutional neural network.

The average recognition accuracy over ten-fold cross validation of results for the support vector machine (SVM) based 25-class unified pattern classifier is obtained as 92.03%.

The average recognition accuracy of unit saccadic signals achieved 99.0% (before sample optimization) and 99.57% (sample optimized) over 10 participants, which reveals that the proposed algorithm presents an excellent classification performance in saccadic signals recognition.

The average recognition accuracy of 92.2% was recorded.

The average recognition accuracies are reported for 30 repeated random splits.

Average recognition accuracies obtained by the nearest-neighbor classifier and a selection of up to top 100 features for five different gene expression databases.

Fig. 9 Vessel type specific recognition: Average recognition accuracies computed within each of the 29 vessel types on IMO testing set are depicted for extracted 109- (blue), 4035- (red), and 4144- (green) dimensional output-based representations and VGG-VD-19-based 4144-dimensional output-based representation (gray) learned in IMO training set.

The case α=0, where the magnitude spectrum is kept unchanged in MSE, yields an averaged recognition accuracy of 72.26%, significantly better than the MFCC baseline result (59.75%).

However, combining MSE with either of MVN and MVA can yield better recognition rates with regard to Test Set C. For example, MSE plus MVA (80.58%) is better than MVA alone (79.12%) in averaged recognition accuracy.