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w is the matching weight between the (y, x) pixel in left camera image and (y, x − s) pixel in the right camera image.
The resulting values are summed row-wise and the ratio of the summed agreement weights to the summed disagreement weights is calculated – this value is known as the "matching weight".
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The matching weights are compared to a pair of criteria, known as the matching parameters, in order to classify records as matches, possible matches and non-matches.
Probabilistic matching allows for variation in reported characteristics by deriving a measure of similarity across variables used to identify matches, called the match weight.
The analysis used the same methods to examine the effect of differential response but the matched weight was applied rather than the traditional non-response weight.
A subset of hospital discharge records was then matched to a subset of RAC entry records and a single (if any) match was selected based on the match weight.
An unresolved problem is that although these techniques produce an optimal partitioning of pairs of records based on the match weights, the resulting partitions may not correspond exactly to matches and non-matches.
Our protocol for creating a k-clique matching overlay is inspired by the self-stabilizing algorithm by Manne and Mjelde [19], which finds a matching which is a 1/2-approximation of the optimal solution for the maximum weighted matching problem — the total weight of the matching found by this algorithm is at least 1/2 of the optimal matching weight.
Here, we interpret the pairwise matching weights as votes for the importance of the nodes which allows a quick division between consistent nodes and irrelevant ones (e.g., those from the background).
The uniqueness check stage ensures that the matching pixel weight is significantly different from the weight of the second best matching pixel.
In feature weight assignment, the pattern that matches the pattern template 1 has a higher probability of describing regulation relationships than those matching the pattern template 2 and 3, because the patterns of template 1 are more meaningful than those of type 2 and 3. Therefore, only template 1 attains the pattern match weight.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com