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User separation is achieved by solving a blind source separation problem.
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Obtaining the factorization (varvec{B} varvec{A}), under this assumption, is equivalent to solving a blind source separation problem.
Under these conditions, the blind spectral unmixing task can be approached by solving a BSS problem with the additional constraint[19]: ∑ i = 1 n S i = 0, (3).
MI-GRAAL fulfills this by solving a weighted bipartite matching, while GHOST by solving a quadratic problem.
The identification is done by solving an optimization problem.
There's a reason you might say you were "blinded" by anger or another emotion -- feelings aren't rational and keep you from seeing facts that may be important to solving a problem.
A group of six grade school girls in Los Fresnos, Texas took it upon themselves to solve a problem for blind kids.
A typical trajectory is obtained by solving Newton's equations.
Given latent signal X we use a least-squares method to estimate the convolution kernel k modeling cross-talk and phasing effects by solving: We estimate convolution kernel k in two distinct steps: we use data from the first four cycles and only model cross-talk in the convolution kernel and use the blind-deconvolution iterative procedure to estimate cross-talk effects.
Basically the previously blind retina became a camera.We found we could take a blind mouse that couldn't solve a maze problem and by making its retina light sensitive, it could navigate a fairly complex maze and go right to the target.
Independent component analysis (ICA) is a standard statistical tool for solving the blind source separation (BSS) problem.
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Since I tried Ludwig back in 2017, I have been constantly using it in both editing and translation. Ever since, I suggest it to my translators at ProSciEditing.

Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com