Sentence examples for based on a sparsity from inspiring English sources

The second stage is a BSS algorithm based on a sparsity criterion consisting of the minimization of the l1 norm of the sources.

The second stage is a BSS algorithm based on a sparsity criterion which is the minimization of the l1 norm of the sources.

The separation matrix W(f) is estimated by minimizing, with respect to W(f), a cost function ψ based on a sparsity criterion, under a unit norm constraints for W(f).

In the BSS step, we estimate the separation matrix W(f) by minimizing, with respect to the separation matrix W(f), a cost function ψ based on a sparsity criterion, under a unit norm constraint for W(f): min W ψ ( W ( f ) ) such that W ( f ) = 1 (11).

The method is based on a sparsity inducing regularization algorithm l 1 l 2 that selects relevant variables and takes into account their correlation.

We develop two categories of adaptive link selection algorithms; the first one is based on an exhaustive search, while the second is based on a sparsity-inspired relaxation.

The idea behind this method is based on a geometrical interpretation of the sparsity.

In this paper we use tools of statistical learning in order to design a more accurate prediction operator in this framework based on a training sample, resulting in multiresolution decompositions with enhanced sparsity.

The proposed procedure relies on a single-linkage clustering based on a new dissimilarity measure designed to give equal influence to sparsity and specificity of profiles.

Accordingly, in this paper, we first propose a similarity propagation approach based on a heterogeneous network to effectively ease the cold start and data sparsity problems.

Our approach is based on a minimum cut reformulation of the problem of selecting features under sparsity and connectivity constraints, which can be solved exactly and rapidly.