Sentence examples for a latent source from inspiring English sources

The show starts with them and, by the last gallery of the exhibition, you can see the abstract, conceptual side of these Byzantine pictures as a latent source for his final style, with its fantastical corkscrew figures, elongated and dematerialized, indifferent to verisimilitude and independent of nature, form dissolving into flat pattern and imaginary space.

The downward pressure on the yuan poses a latent source of further dollar strength.

Sediments also represent a latent source of antimicrobials and can release the compounds back into the water column upon disturbance.

In particular, cattle that become infected (SICTT positive) but never go on to develop disease-associated pathology (abattoir negative), or infected cattle that rapidly develop progressive disease (i.e., potentially abattoir positive) and become anergic to the SICTT, may become a latent source of infection in the herd.

The method is based on the factorization of the BES matrix as a product of a sparse coding matrix and a dense latent source matrix.

Here we address the statistics of coincident level crossings arising from two Gaussian processes that share a common latent source.

b We consider coincident level crossings arising from two Gaussian processes that share a common latent source.

In the factorization, the first matrix, which acts as a coding matrix, is penalized using the ℓ21-norm, and the second one, which acts as a dense, full rank latent source matrix, is penalized using the squared Frobenius norm.

and to minimize (4) with respect to A and D. Note that, in the field of ICA, only the loading matrix A is of interest since it corresponds to the mixing matrix of several latent source signals.

The structured sparse-low-rank structure is enforced by minimizing a regularized functional that includes the ℓ21-norm of the coding matrix and the squared Frobenius norm of the latent source matrix.

On the other hand, in order to handle the nonconvexity of the optimization problem, we use an iterative alternating minimization approach: minimizing over the coding matrix while maintaining fixed the latent source matrix and viceversa.