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Figure 6 presents the recognition results obtained.
Figure 5 presents the recognition performance of different methods.
Table 5 presents the recognition rates for the six target voices, for nonadapted, adapted to singing, and adapted to target voice systems.
Table 2 presents the recognition rate and performance according to the amount of training data when each of the four parameters was used.
Thus, each omega loop would be a HVS and the roles of the intervening GRMs would be to form the core structure that presents the recognition motifs in the HVSs.
Where Douglas [ 1] presents the recognition that there is room for improvement as an argument for moral bioenhancement, others are of the opinion that although we can agree that the world we live in now is far from optimal, it is not clear why this would be a reason in favor of moral bioenhancement.
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We present the recognition results of 2-tone images using the eigenspace built from a set of grey-level images.
Emphasis is made that the main purpose of the paper under discussion is to present the recognition of a distinctive landscape pattern in central British Columbia that appears to be an immense anastomosing channel network.
As can be seen from the results presented, the recognition rate of the proposed approaches is higher as compared to that of the recent methods.
In Table 3, we present the recognition rate obtained, when using all fractal features, and those reduced by the 2DPCA with the optimal configuration (five transformations where each one is coded by five parameters).
Here, we present the recognition results for the three representative public databases (CK+, MMI, and AFEW), because we needed to evaluate both the lab-controlled (CK+ and MMI) and real-world (AFEW) scenarios.
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Since I tried Ludwig back in 2017, I have been constantly using it in both editing and translation. Ever since, I suggest it to my translators at ProSciEditing.

Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com