Sentence examples for high classification results from inspiring English sources

We have implemented a new set of features extracted from wearable sensors that are ambitious from a computational point of view and able to ensure high classification results comparable with the state of the art wearable systems (Mannini et al. 2013).

In the course of research, the value of k was selected to achieve the highest classification results.

The number of perceptual coefficients giving maximum results depends on the type of examined features; it was selected in order to achieve the highest classification results.

The value of k in case of k-NN algorithm is experimentally chosen in order to give the highest classification results for a given group.

However, in this study, we optimize these parameters using GA in order to even produce higher classification results.

We show that, compared to a previously developed method, we are not only able to almost always get higher classification results in our application scenario, but that the proposed method is also able to significantly outperform the previously developed method in terms of the computational demand.

The lowest classification result was obtained with a short hair feature, reaching 53 % accuracy, and the highest classification result was obtained with a "carrying" feature, reaching 75%% accuracy.

For matrix [C], Kernel KSVD cannot achieve a higher classification result than the FourComponent and the Freeman decompositions, particularly for rice2 and rice5.

Both of the two approaches can produce high-quality classification results at the species level or above without using a significant amount of computation.

The disadvantage is that the classifier has a high variance of the classification results.

Although artificial neural network (ANN) usually reaches high classification accuracy, the obtained results sometimes may be incomprehensible.