Sentence examples for models of visual from inspiring English sources

Based on this we argue that computer systems attempting to model the evolving context of a visually situated discourse should integrate models of visual and linguistic salience within their natural language processing (NLP) framework.

In the past decade, a large number of computational models of visual saliency have been proposed.

Computational models of visual attention have replicated a large number of data from visual attention experiments.

The models of visual attention are usually divided into two categories: bottom-up and top-down [5].

However, current state-of-the-art models of visual masking have been optimized for artificial targets placed upon unnatural backgrounds.

This paper proposes an application of a combination of computational models of visual attention to the image retrieval problem.

Bi- and multi-stable networks have been used, for instance in models of visual perception and decision making [23 25].

One of the main uses of MIIND so far has been the instantiation of neural models of visual attention.

This paper provides kinematic models of visual acuity and motion resolvability as adopted measures of visual perceptibility of the workspace.

An implication for interactive models of visual perception is that in the face of perceptual (bottom-up) impairment, top-down factors act to compensate for this impairment.

In line with contemporary models of prefrontal cortex organization and dual stream models of visual-spatial and auditory processing, we show that the processing of musical harmony is a network capacity with dissociated dorsal and ventral motor and auditory circuits, which both provide the infrastructure for predictive mechanisms optimising action and perception performance.