Most studies of the role of context in object recognition have focused on conditions in which the target object is fully identifiable when viewed in isolation, and the role of context is in ';facilitating' the recognition process. The current study was aimed at identifying and quantifying the ...
Current analysis shows that both NO donors and NO synthase (NOS) inhibitors are involved in object recognition memory and suggests that NO might be a promising target for cognition impairments. However, the potential neurotoxicity of NO would add a note of caution in this context. 展开 关键词:...
since users may not have the time to examine a large number of explanations. We represent the time/patience that humans have by a budget B that denotes the number of explanations they are willing to look at in order to understand a model. Given a set of instances...
The CSD is attributed to automatic and obligatory binding of object and context. The results suggest that PHC is important not only for processing of scene information, but also plays a role in successful episodic memory encoding and retrieval. These findings are consistent with the view that ...
for object definition than edge fragments Because the 2-D features are so signifi- (right). cant, we use the term key-points. In this paper we want to discuss the role that an independent representa- tion of such key-points can take in aggregating local edge evidences to larger, ...
The temporal stability of different types of contexts may play an important role in supporting this memory-chunking process. Increasing evidence shows that items encountered in a shared, or stable, context (e.g., appearing in the same room) become linked together in memory5,6,7,8,9,10. By...
Thus, while logical reasoning may still be developing during preschool years, at least the fundamental logical operations required for reasoning by elimination (of a disjunct) seem to predate the mastery of the logical vocabulary and possibly play a role in its acquisition. However, the nature and...
In this article, I interrogate the repercussions of doing work at these political intersections by focusing not so much on the research findings themselves, but on the ways in which the project has been responded to within a context which is anti-expert, anti-‘woke’ and one of perceived ...
They include predictive analytics, image classification, object recognition, text spotting, auditory perception, NLP, and collaborative AI. Then, we identify the characteristics of each technique by considering the key parameters that play a critical role in integrations. These parameters include software...
This example was first described in Part I of this two-part paper [4] for demonstrating the role of human knowledge in dealing with information loss due to many-to-one mappings in such a visualization image. Similar to Figure 3 (Section 3) in this part, the example was used in Part I...