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As contrasting scenarios, we also simulated foresighting code knowledge dynamics in cases that are quite different from the EHEA contextual scene, as shown in Table 2.
Objects are usually associated with the context in which they appear, which provide expectations about which objects are likely to appear in a given contextual scene.
We studied multivariate activation patterns restricted to individual cortical depths to test for the presence of contextual scene information.
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These studies show that objects appearing in familiar or consistent contextual scenes are detected more accurately and processed more quickly than objects appearing in unfamiliar or inconsistent contexts [1] [7].
Presenting target objects on contextual landscape scenes, we introduced a cueing technique designed to focus subjects' attention on target processing.
Here we investigated neural correlates of contextual cueing and explicit scene memory in two participant groups.
There are references to locals and some lines that only New Orleanians will get but they won't interfere with the contextual understanding of the scenes as a whole for viewers outside New Orleans.
For overlapped harmonics, we analyze the musical scene and utilize the contextual information from notes of the same source.
The key idea in the proposed system is to utilize contextual information available in a musical scene.
In this paper, we show that it is possible to handle this problem, without any priors, by utilizing the visual and contextual information already available in such scenes.
We frame our method as a generative probabilistic hierarchical model, where we use object category classifiers to associate low-level visual features to objects, and contextual relations to associate objects to scenes.
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