Sentence examples for sparsity over from inspiring English sources

The proposed method employs sparsity over a pre-learned dictionary that can restrain this condition.

There is also the potential, with both the TV inpainting and CS-ET reconstruction, to incorporate prior knowledge (viz. sparsity) over time to further enhance the reconstructions and/or enable even greater subsampling.

In the sequel we call the approximation generator that possess sparsity property "over-complete dictionary" and its elements "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.

Recently in [46], authors proposed a two-layer graphical model for inferring the disparity map by including a sparsity prior over learned sparse representation of disparities in an existing MRF-based stereo matching framework.

By contrast, lasso or elastic net, with a fixed mixture weight, has sparsity penalty over both pruned and selected variables, which can greatly shrink the values of selected variables and hurt predictive performance.

The advantage of HDLA is that there exist nonnegativity restrictions on the model weights together with (ell _1 -sparsity enforced over the activations of the hidden layer nodes of the network.

To improve model interpretability and generalization, sparsity is imposed over these hidden relations.

In this article, we tackle the issue on scrambling-based speech encryption via CS by exploiting the sparsity of speech over the Karhunen Loeve (K L) incoherent dictionary [18].

Figure 5 Sparsity enhancement obtained with the over-complete dictionary corresponding to λ =2.