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Humans constantly generate and solve ambiguities while interacting with each other in their every day activities.
To solve ambiguities, they proposed a process called deductive linking.
The absence of stronger semantics makes it difficult to solve ambiguities caused by synonymy and polysemy which are common to natural languages.
Mitochondrial data were also used to solve ambiguities due to multiple parental allocations, thus compatible parent-pair profiles were discarded if there was no concordance between maternal and F1 mitochondrial haplotype.
In these cases alternative methods may be helpful to solve ambiguities.
By inspection of the raw data we were then able to solve ambiguities.
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In order to solve this problem, this paper first analyzes the design history of parts, then presents a face based mechanism for naming, recording and retrieving topological entity and finally proposes a method named parametric space information to solve ambiguity when recording and retrieving entities.
When we find words with different meanings, a structured formal ontology can help us to solve ambiguity problems (Evans and Frankish 2008; Frixione and Frankish 2013).
However, these semi-global local stereo matching methods still cannot totally solve ambiguity problems, which could come from census transform [21, 22, 24] and local support windows [23].
Solving ambiguities with perspective taking.
Some work also focuses on improving the appearance model for solving ambiguities, e.g. by implementing an online learning approach for discriminative appearance models [20, 21].
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com