Sentence examples for methods may incur from inspiring English sources

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Considering on conventional polygonization or adaptive mesh methods may incur high computing costs and detail losses, an improved particle-based method is provided for real-time fluid surface rendering with the screen-space technology and the utilities of the modern graphics hardware to achieve the high performance rendering; meanwhile, it effectively protects fluid details.

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While such an approach has the advantage of simple implementation, this method may incur substantial performance penalties such as low spectral efficiency and a large amount of power consumption.

In contrast, skin deformation at less than a few tens of Hertz, at which our method may incur significant errors, is regarded as being less effective for the perception of fine textures [6, 24]; nonetheless, they still influence the perception of coarse surfaces.

Since synthetic data is used, this is clearly a proof of concept and there are many pitfalls this method may incur when attempting to apply this technique clinically.

POS makers acknowledge it is far easier to take the touch-based skills many people are now learning from a very early age - pinch, swipe and scroll - and incorporate them into their own devices, rather than inventing any new methods of inputting data that may incur hours of training.

Using the method on large networks with relatively few observations may incur co-linearity problems, i.e. genes that have very similar profiles leading to confounding factors in the inference.

Although the algebraic linearization method provides an accurate and parameterized linear system, it may incur computation burdens for the large power system especially with multiple FACTS devices.

Most of the popular shock-capturing methods are only first-order accurate at the shock and may incur spurious numerical oscillations near the shock.

In essence, many methods have been developed to provide high quality results, neverthless, they may incur prohibitive computational costs.

Since (11) is a quasi-convex problem given a τ, we can employ the classical bisection method [31] to seek the optimum W ⋆. Nevertheless, it may incur huge computational complexity.

Since genomic data sources are generally high dimensional and noisy, and contain many redundant features, which may incur computational difficulty and low accuracy, a Student t-test based feature selection method was used [ 40].

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