Sentence examples for model the perceptual from inspiring English sources

Different from the independent estimation in conventional MSE-based end-to-end distortion model, the perceptual error propagation depends on the source distortion or the concealment distortion.

These models, based on vast amount of empirical research on retinal images, allow us to follow a more principled approach to model the perceptual response to 3D meshes.

As such, over the last 10 years, the interest has grown within the VQA community towards using ML technologies to model the perceptual mechanisms underlying the HVS.

Section 4.1 will analyze ML-based VQA systems with a single predictor setup (path (a) in Figure 1); thus, a framework in which a single general mapping function is entitled to model the perceptual mechanism.

Unlike the traditional end-to-end distortion model, the perceptual quantization distortion and the perceptual error propagation distortion are dependent on the video content, which makes the end-to-end distortion become complex or difficult to estimate at the encoder.

In the context of the proposed model, the perceptual differences also offer some explanation as to why users with high levels of security awareness as well as high levels of trust in own and organisational capabilities so often fall victim to social engineering scams.

In what follows, we will refer to the hierarchal Bayesian learning model as the "perceptual model," because this model provides a mapping from hidden states (or environmental causes) to sensory inputs (Daunizeau, den Ouden, Pessiglione, Kiebel, Stephan et al. 2010; Daunizeau, den Ouden, Pessiglione, Kiebel, Friston et al. 2010).

Crucially, the response model subsumes the perceptual model because the perceptual model determines the subject's beliefs and responses.

Critically, the response model subsumes the perceptual model, how it is inverted and how the ensuing posterior belief maps to measurable responses (Figure 1).

Conversely, Section 4.2 will examine ML-based VQA systems that also include path (b); hence, the prediction system models the perceptual mechanism by exploiting different specialized mapping functions, and a supporting block drives the selection of the correct mapping function by analyzing the input signals.

In the Bayesian modelling approach to perception, a generative probabilistic model for the perceptual process is defined.