Sentence examples for configuration of the features from inspiring English sources

28 In this study, an adaptive kernel of which the bandwidth was obtained by minimising the corrected Akaike information criterion (AICc) was chosen by evaluating the spatial configuration of the features.

In the context of such theories, changing the configuration of the features within a face by misaligning the top and bottom halves presumably impacts holistic processing because the resulting stimulus no longer matches an internal face template.

In this paper, we chose an adaptive kernel by considering the spatial configuration of the features, and we found the bandwidth by minimizing the corrected Akaike information criterion value as it is less biased compared with AIC [ 34]. Figure 5 shows the summary statistics of the variables.

The configuration in response to a context change is seldom a full configuration but rather a partial configuration of the feature model.

We evaluate different configurations of the features with different orders of offset conjunction (adding context in the form of features of the last p and next p tokens, where p is the order of the offset conjunction) as well as the order of the CRF, which includes information from the last q labels (q is the order of the CRF).

In previous studies documenting the misalignment-driven attenuation of holistic face processing, the disruption to the configuration of the facial features has been confounded with a potential disruption to the perceptual grouping of the parts.

Of note is the ability of such cues to impact holistic face perception even when the face parts themselves are aligned, and thus the configuration of the facial features is intact.

According to Neander (2006) the configuration of visible features is the right style of visual content to ascribe for the purpose of mainstream scientific explanations of an anuran's visual capacities.

The $2,999 configuration of the Mac Pro features a 3.7GHz quad-core Intel Xeon E5 processor, not one but two AMD FirePro D500 workstation GPUs with 2GB of dedicated RAM per unit, 12GB of system RAM and a 256 flash storage module.

A key concept underlying Deep Learning methods is distributed representations of the data, in which a large number of possible configurations of the abstract features of the input data are feasible, allowing for a compact representation of each sample and leading to a richer generalization.

The content of the frog's sensory-perceptual representation is not indeterminate between the configuration of visible features and something nutritious on that theory, since the frog's visual system was not selected for producing the relevant sensory-perceptual representation in response to the nutritional value of the stimulus.