Sentence examples for view visual from inspiring English sources

Exact(8)

In truth, Bonello is too cunning and too controlling to grant us anything that resembles a settled point of view, visual or moral; hence his need to show a violent death from multiple angles.

Oliveira offers a simple and rarefied lesson in vision, finding blazingly clear angles to reveal ancient wonders in a renewed immediacy, to look ancient heroes in the face, and to take their point of view visual and historical, whimsical yet hopeless — against the undiscerning modern crowd.

On one version of this view, visual experiences not only represent the external world but also represent themselves (for a recent collection of essays elaboarating this view, see Kriegel and Williford 2006).

When Google first launched its Street View visual mapping tech in a handful of U.S. cities, way back in 2007, there were sharp intakes of breath — followed by plenty of oohs and aahs!

The experimental vehicle was also equipped with video cameras to collect information about the driver's behavior in real driving condition (front view: traffic and infrastructure, rear view: traffic, driver view: visual activity and verbalizations, driver and driving instructor view: overall driver behavior and actions of the instructor).

From a developmental and genetic point of view, visual episodic memory could be underlain by neural systems that have more plasticity than other cognitive regions.

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Similar(52)

Unless, that is, viewing visual research into early church architecture in upstate New York is your idea of a good time.

When the illumination is reduced, the acuity falls so that, under ordinary conditions of daylight viewing, visual acuity is not much better than unity.

We propose VERTIPH, a new multiple-view visual language that avoids the weaknesses we identify.

With a cooperative multi-view visual design, our proposed approach links the hierarchies of MRL datasets and provides the capacity for comparison at different levels and dimensions.

In this paper, we describe and evaluate a new spiking neural network (SNN) architecture and its corresponding learning procedure to perform fast and adaptive multi-view visual pattern recognition.

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