Sentence examples for with better recognition from inspiring English sources

The experimental results shown later will reveal that the logarithmic magnitude spectrum outperforms the linear magnitude spectrum for providing MSE with better recognition accuracy.

Solutions to better treat and integrate citizens with migrational backgrounds begin with better recognition - removing the "motivated" blinders.

Still, another study found that stronger repetition suppression was associated with better recognition memory [46].

Second, activation in the left midfusiform cortex predicted memory for novel characters both across and within subjects (i.e., across items), with stronger midfusiform activation associated with better recognition.

We found that spaced learning reduced repetition suppression and increased the overall processing strength in the left midfusiform cortex, which in turn were associated with better recognition memory.

Similarly, Wagner et al [33] found that spaced presentation of words was associated with stronger activation in the left inferior frontal gyrus (IFG) in a semantic judgment task and also with better recognition memory of the words.

In contrast, the patient with Alzheimer's disease showed impaired recognition of compositions, with somewhat better recognition of composer and musical era, and impaired comprehension of musical symbols, but normal recognition of musical emotions and musical instruments from sound.

The proposed multi-band based segmentation scale parameter selection method outperforms the single-band based method with the better recognition for diverse land cover objects in different urban landscapes.

Computer game experience did not significantly influence the recognition rates of natural or virtual faces; except for the virtual expressions of fear and neutrality, computer game experience was associated with a better recognition rate in males (fear: z = 2.18, p = 0.029; neutral: z = 2.72, p<0.01), which, however, failed significance after controlling for age.

Furthermore, there was an interaction between learners' visuospatial abilities and the degree of realism in the visualization: learners with lower visuospatial abilities showed better recognition with schematized visualizations, whereas learners with higher visuospatial abilities showed better recognition with realistic visualizations.

From the experiments performed on data from the SUSAS corpus, it can be concluded that combining the LSTM classifier with the Lyon cochlear representation gives better recognition results in comparison with combining the same classifier with the traditional MFCC representation.