Sentence examples for moderate sparsity levels from inspiring English sources

The most improvement is seen at moderate sparsity levels.

The sparsity levels are given as follows.

Inpainting sparsity level: We perform sparsity-based inpainting using mOMP with sparsity levels 4 4 24 and dictionaries learned by ITKrMM and wKSVD, the DCT basis, as well as an overcomplete DCT frame with 144 atoms.

Figure 4 Reconstruction SNR at various sparsity levels over 100 runs in complex-valued scenario.

Figure 3 Reconstruction SNR at various sparsity levels over 100 runs in real-valued scenario.

For sparsity levels with no inferred network, the accuracy was assumed to be the average of accuracies from adjacent sparsity levels.

> -wrap-foot> The above-mentioned results were replicated for thresholded connectivity matrices across a wide range of sparsities (i.e., at least 7 of 9 sparsity levels).

In the rare situation in which a sparsity level was unreachable (by modifying the regularization parameter) the inference accuracy was assumed to be the average of the accuracies from the adjacent sparsity levels.

In the synthetic analysis, we inferred networks for each experimental design and dataset and prior and sparsity level combination, which resulted in 1.7 million inferences (150 datasets × 5 priors × 6 accuracies × 381 sparsity levels).

Figure 2 shows the improvement over all sparsity levels for these two types of generated datasets using these prior accuracies.

We used a search procedure to modify the regularization parameter to obtain inferences for all sparsity levels.