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In statistical physics, phase transition refers to the existence of multiple equilibrium distributions in a graphical model of infinite size.
We demonstrate our results on videos containing human targets, where the pictorial structure of the target is modeled as a graphical model of the parts of the body.
An interactive software module has been developed which can be used for 3D alignment of a graphical model of upper and lower dental arches.
A graphical model of conventional ISFA is shown in Figure 2. Whereas each frequency bin is independently estimated in the conventional ISFA model, all frequency bins are bundled together by the unified activity matrix in the PF-ISFA model.
It shows a graphical model of the transmission model in (6), again without noise, but now J is a random N c ×N c interleaver matrix and again R c =1/3 and L=2.
Figure2a shows a graphical model of the transmission model in (6), without noise, where it is assumed that J=I where I is an N c ×N c identity matrix (i.e., no interleaving is performed) where R c =1/3 and L=2.
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We apply a graphical model to the problem of fusing several disparity maps using a Markov random field approach for integrating the disparities.
A graphical model consists of nodes connected with unidirectional arrows.
Firstly, a graphical model consists of a graph with dots, lines and potentially arrowheads.
A graphical model consists of nodes representing the variables and edges representing conditional dependencies between the variables.
In simple and descriptive terms, a Petri net is a graphical model that consists of places, transitions and arcs (a simple example is given in Figure 8).
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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