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The fusion step is driven by formation of a complex between vesicular v-SNARE proteins and target membrane t-SNAREs.
On the other hand, the relative precision of sensors is considered so that the contribution of a sensor in the final data fusion step is proportional to its precision.
Having obtained pupillary and limbic boundary points for each segmentation algorithm, the scope of the model fusion step is to combine a set of segmentation boundaries into a new candidate boundary.
A similar approach that uses gradient information from both visible and thermal images is described in [112]: the fusion step is based on mutual agreement between the two modalities.
A fusion step is performed in MVME to fuse various joint motion and disparity estimations, while in the previous work the fusion was performed between a purely inter-view SI and a purely temporal one.
Using (8) and (34), the target existence probability for the fusion step is found to be begin{array}{l} Pleft{ {{chi_{k}}|{boldsymbol{Z}^{Nbackslash k}}} right} = frac{{Lambda_{k }^Pleft{ {{chi_{k}}|{boldsymbol{Z}^{k-1}}} right}}{{1 - left 1-{Lambda_{k }^right)Pleft 1-{Lambda_{kdsymbol{Z}^right Pleft}}} end{array} (38).
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The fusion step was carried out by ordered weighted averaging (OWA) operators.
Key players during the final fusion step are the so-called SNARE proteins.
However, the order of the fusion steps is highly specific – newly formed phagosomes only fuse with sorting endosomes, and only after this event can they fuse with late endosomes, and so forth (Vieira et al., 2002).
The fusion steps are also detailed in Figure 1.
A new HIV fusion model is presented where (1) hemifusion is catalyzed by folding of gp41 ectodomain monomers into hairpins and (2) subsequent fusion steps are catalyzed by assembly into a hexamer with FPs in an antiparallel β sheet.
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