Sentence examples for the most sparse from inspiring English sources

Still others support scrub brush and bunch grass, while a few, which are nearly waterless deserts, have only the most sparse and scanty plant life.

In 1934, wanting to leave his job as a New York advertising copywriter and become a Hollywood screenwriter, Pirosh sent out perhaps the most sparse, tantalising job application in history.

In general, the most densely populated areas are found bordering the lakes, in the river basins (especially those of the Nile and Niger), along the coastal belts of western and North Africa, and in certain highland areas, while settlement is the most sparse in the desert and savanna areas.

The places where politically excluded groups live tended to be the very places that internet connections were the most sparse.

In Fig. 3 a, b, d and e, the most sparse distribution of codewords all lie in rear regions.

FSLG applies the l2,1/2-matrix norm into the sparse feature selection algorithm to select the most sparse and discriminative features.

Seed investment sizes have remained relatively constant over the past ten years, although the data is most sparse for this asset class since many investments are unreported.

In the case discussed here where the solution is expected to be spatially sparse, CS uses the insight that the most spatially sparse solution satisfying Eq. (1) is the exact solution with high probability (if the problem satisfies the necessary conditions [ 4, 5]).

As a result, small coefficients tend to appear on nonsupport sample to meet the low-rank condition, while most sparse representation coefficients solved by (5) will remain in the signal matrix S. The reconstruction to the multiple-view SAR images may become worse than the reconstruction by ℓ1-norm solutions in (5) as small coefficients' influence.

A conscious nod to the recession, the album is more pared down in its arrangement than their six previous studio albums, but even the most musically sparse songs pulse with a rich narrative.

Unfortunately, improving the models requires observations, and "Antarctica and the sea ice lanes are some of the most data sparse regions on earth," he says.