Sentence examples for shape the prediction from inspiring English sources

The preprocessor is then designed by adjusting an appropriate quantity regulated by the JND profiles to shape the prediction error signals such that the perceptual distortion of the reconstructed color image can be reduced.

The subband JND profiles of the input color image obtained by using the JND estimator presented in Section 2 are incorporated into the proposed prediction error preprocessor to shape the prediction error and decide the reconstruction level for achieving the increased performance in terms of bit rate at a specified visual quality.

In order to shape the prediction error for higher performance, the prediction error preprocessor utilizes the JND profiles to process the prediction error signals such that the dynamic range of processed prediction error signals can be reduced to achieve lower bit rate or better reconstructed image quality.

The JNDs mainly attempt to design a prediction error preprocessor that can shape the prediction error signals more smooth instead of investigating the adaptive prediction while the same visual quality of the reconstructed color image for lower compression bit rates is achieved.

We use the Fehr-Schmidt model [4] to explain how these theories shape the predictions for our pure social choice types and increase the variance in the data.

From the hybrid-learning algorithm, ANFIS can be efficiently trained for the optimum blank shape, and the prediction knowledge rule database can be accomplished.

Based on the experimental results, a new Gmax model is developed which incorporates the contribution of grain size characteristics and particle shape in the prediction of the small-strain shear modulus of sands subjected to stress anisotropy.

The scaling parameter (m) was left at 1 (note that therefore only the shape of the predictions is of interest, not the magnitude).

Calculation of the equilibrium form using the prediction programme SHAPE [39] using the Donnay-Harker approach yields the often observed equant prismatic form shown in Figure 10.

However, the shapes of the inventory plots are usually different from the cell shapes utilized in the prediction maps [43] that are normally square.

This review highlights emerging trends from this rapidly growing area of research, including an expanded understanding of the biophysical mechanisms underlying existing and new protein function, the roles epistasis and adaptation play in shaping evolution, and the prediction of disease-causing alleles in humans.