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It is natural to apply the results about merging methods to the aggregation of individual judgments (Pigozzi 2006).
ChiMerge [11], Chi2 [12], Modified Chi2 [13], and area-based [14] are examples of univariate, supervised, incremental and merging methods.
The above description summarizes related work in the Bayesian Model Merging and minimum cover set merging methods.
In contrast to splitting methods, the basic merging methods (bottom up methods) start from many initial clusters.
First, the segmentation accuracies of these window merging methods greatly depend on the reasonable selection of the initial window size.
The changes include: breaking a single method into multiple methods, adding functionalities, removing functionalities and merging methods.
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Then, a strict region merging method is introduced to prevent mis-merging while superpixels generated.
Then, Full Lambda Schedule merging method combines adjacent segments.
ChiMerge [11] ChiMerge is a merging method introduced by Kerber.
FUSINTER [80] This algorithm is a greedy merging method.
To address these two issues, a new point cloud merging method is proposed in this work.
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