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Optimizing Connected Component Labeling Algorithms
by K Wu 2005 Cited by 293 ABSTRACT. This paper presents two new strategies that can be used to greatly improve the speed of connected component labeling algorithms.
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Labeling Algorithms
A variety of types of algorithms have been used in order to solve the labeling problem: greedy algorithms [CMS95, Hir82], exhaustive search algorithms [DF92,
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Data Labeling Overview for Machine Learning and Data Science
Data labeling or annotation is the process that gives meaning to your raw data, adding a critical layer of metadata that draws the connection between raw data
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