Sentence examples for effective sparsity from inspiring English sources

Second, although model (8) can be tackled by efficient linear programming solvers and the solution of model (8) preserves the effective sparsity of the underlying signal (see [6]), the solution is not necessarily sparse in general as shown in our numerical experiments (see Section 6).

Under the effect sparsity assumption, a supersaturated design can be very cost-effective.

Evidently, this extra measurement is effective in promoting sparsity, which leads to improved performance relative to the sparsity-agnostic tracker.

Recently, authors proposed a very effective method called sparsity, for regularization.

The CRP method can be effective in balancing the sparsity of sampled vectors in DCT domain of image, and then in improving the CS sampling efficiency.

Hence, sparsity is an effective constraint for performance enhancement where there is no intimation about the required number of hidden layers in DBM and the amount of hidden units required in successive layers while creating an optimal deep network that efficiently discovers interesting structures embedded in the input data.

From the results of Figs. 6 and 7, it can be said that the l p sparsity regularization is effective to improve the quality of the reconstructed images of broad targets by reducing the influence of noise.

The l p sparsity regularization is effective to enhance the localization, to reduce the artifacts and to recover the difference in μ a between the large and small changes, although small changes in μ a may be eliminated by the l p sparsity regularization when p is too small because it strongly localizes the changes in μ a.

Like its real-valued counterpart, the proposed algorithm aims to achieve maximised model robustness and sparsity by combining two effective and complementary approaches.

The l p sparsity regularization is also effective for reconstructing broad targets.

Evidently, both sparsity-aware designs are effective and improve the WD performance.