Sentence examples for sparse surface from inspiring English sources

Fitting a sparse surface to approximate vast dense data is of interest for many applications: reverse engineering, recognition and compression, etc.

These results illustrate the potential for improved assessment of springtime phenology and associated ecosystem dynamics across high latitude regions, where field based and optical remote-sensing methods are substantially degraded by frequent cloud cover, low solar illumination and sparse surface weather station networks.

Morphology of the deposited structures was found to be dependent on the used solvents: delocalized sparse surface structures in the case of the dichloromethane solution, close packed nanoparticles for the dimethyl formamide and homogeneous phase with nano-pores for the acetone solution.

Groundwater is typically used to augment sparse surface water supplies in the arid, lower Basin, and across the entire Basin during drought [ Hutson et al., 2004; Kenny et al., 2009].

There may not be much else in the film's central location, Bundanyabba (known as "The Yabba"), other than heat, grog and dirt, but there's a great deal going on beneath the film's sparse looking surface.

The method, proposed in this paper, addresses these points using sparse response surface and a relevant criterion for results accuracy.

In the current work, we develop a technique based on sparse response surfaces to represent the flow response within a subsurface reservoir and thus enable efficient exploration of the posterior probability density function and the conditional expectations given the data.

Due to the sparse Cu2O FGLNA oxide surface layer, new blue Cu atoms penetrated the surface layer of FGLNA leaves and get oxidized.

It is supposed that the lower crystalline degree and higher oxygen deficiency of short and sparse nanorods increase the surface energy of sample A, which exceeds the effect from surface roughness.

The results showed the ability to discriminate over a broad range of SSM (7 73%) with an accuracy of 2.11% in bare ground and flat areas (R2 = 0.87), 2.89% in sparse vegetation and flat surface areas (R2 = 0.85), about 6 9% in dense vegetation areas and rough surface areas (0.80 ⩽ R2 ⩽ 0.83).

The surface shows sparse roughness.