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In a follow-up study focused on face recognition robust to poses, Heisele et al. [71] used 14 component detectors based on component SVMs.
Some of the earliest studies focused on face processing.
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Although a successful series of video games was launched, Yu-Gi-Oh! was most successful as a card game that focused on face-to-face card play and social interaction.
If only he and they were more focused on facing terrorists.
Using independent component analysis (ICA), we focused on face-processing-related components N170 and N250.
Other than voter files and a modest social media presence, the campaign was focused on face-to-face interactions.
Specifically, we focus on face recognition for visually impaired users, providing audio feedback and instructions.
The method of [14] focuses on face tracking and uses ellipses as basic face models; thus it cannot easily be generalized for tracking other objects since adequate models are required.
So far, the literature on the N170 component mainly focuses on face processing mechanisms (e.g., [ 38, 39]).
Focusing on face centered cubic (fcc) metals, simulations suggested that the increased strength can be explained by truncated spiral dislocation sources, 6– 8 as was confirmed by a number of in situ transmission electron microscopy (TEM) experiments.
The processor may also have special software to focus on faces, so those calculations are run.
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