Sentence examples for a more abstract representation from inspiring English sources

"It should not carry that narrative tradition". Rather, he believes, it should focus on a more abstract representation of space combined with a kind of proto-narrative.

In this stage of the analysis we returned to a more abstract representation of the wing, again utilizing equations from classical aerodynamics, but allowed the orientation of the wing, the orientation of the movement of Caudipteryx, and the orientation of the incident airstream to vary within a plane parasagittal to the animal's body.

The first step of our method transforms files into a more abstract representation, their logical structure.

Color segmentation yields a more abstract representation of the input images in terms of coherent color segments.

By conceptualizing the interactions at domain level, we provide a more abstract representation of interactome, which also facilitates the discovery of unobserved protein-protein interactions.

The goal of preprocessing is to reduce the amount of data for processing and to obtain a more abstract representation of the input image sequence.

A D-CNN, an extremely efficient and automatic feature-learning approach, transforms an original input to a higher-level and more abstract representation using non-linear models.

In fact, representing a goal in terms of the concrete steps necessary to reach it, instead of the more abstract representation of why we want to engage in it and what its purpose is, will make it less likely that we will be motivated to expend effort to achieve that goal.

Alternatively, if crossmodal matching is mediated by a more abstract shape representation, or a spatial representation which does not encode size, then there should be no cost of size changes to crossmodal shape matching.

A dual representation model of intrusive memory proposes that personally experienced events give rise to two types of representation: an image-based, egocentric representation based on sensory-perceptual features; and a more abstract, allocentric representation that incorporates spatiotemporal context.

Understanding the interactive neural computations by which acoustic representations are transformed into more abstract representations is an important goal if we are to understand the neural mechanisms underlying speech perception.