Sentence examples for sparse in comparison from inspiring English sources

The disparity is estimated only on detected edge pixels; hence, the resulting disparity field is sparse in comparison to conventional dense disparity estimators in [10 13].

Unfortunately, CF may lead to the poor recommendation when user ratings on items are very sparse in comparison with the huge number of users and items in user-item matrix.

In [6], the authors constructed wavelets of order 5 with five vanishing wavelet moments with respect to which stiffness matrices for ordinary differential equations with constant coefficients are very sparse (in comparison with other kinds of wavelets) and their condition numbers are similarly small as in [7] for lower order wavelets.

Since the available experimental data [22] were relatively sparse in comparison to the number of unknown model parameters, the parameter estimates for this under-determined, ill-conditioned problem were expected to be non-unique.

Sampling in the middle portion of the 3N1 range is somewhat sparse in comparison to more eastern and western areas, and this may be partially responsible for an inference of fragmentation; more sampling in the region may reveal intermediate haplotypes and more continuity between east and west.

In contrast, the YCL microtubules in Y27632-injected embryos appeared sparse in comparison to control YCL (compare Fig. 3Diii with Fig. 3Aiii).

These features make the algorithm better to deal with sparse nonnegative matrices in comparison with the traditional implementations.

In photographs now, those arty sixties rooms look unexpectedly austere; their effects seem sparse and rickety, amateurish, in comparison with the fat tide of spending and decorating that came later.

There are visual arts performances that share these features (to wit, Marina Abramović's "The Artist is Present") but for purposes of this section only a brief overview of the sparse dance philosophy literature in comparison with music and theater will be provided.

The cost thresholds were selected from the range (0.13≤cost≤0.25), which was adopted by the following complementary approaches: (1) all brain networks were fully connected, and (2) the resulting brain networks have sparse and distinguishable properties in comparison to degree-matched random networks [26], [82], [83].

Figure 3 highlights not only the fact that no clear relationship was evident between the Gini coefficient and acute alcohol-attributable death but also just how sparse the data were in comparison to the other measures of alcohol-attributable harm.