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However, first, we will show that the method of exemplar-based image inpainting cannot solve this problem.
Our objective was to explore a variety of exemplar analysis methods from each of the different categories of analysis type in order to ascertain whether variation in the resulting trees is trivial or extensive, random or accompanied by systematic bias.
To overcome the limitations of these diffusion methods, exemplar methods combine both structural and textural properties when filling in missing areas [17].
We applied our method on two exemplar datasets each containing a pair of sister fish species: Siniperca chuatsi vs. Sini.
Up to now, the most successful VCs in overcoming over-smoothness appear to be methods using bilinear models such as the exemplar-based method of Wu [11].
Further, an analysis of exemplar publications indicates that for phylogenetic operations, methods, models and programs the majority of phylogenetic concepts can be accurately annotated using PhylOnt.
I mention them by way of exemplar.
We present dialogically inflected discursive analysis of exemplar extracts.
Additional file 1: List of exemplar taxa in study.
This suggests, again, the presentation of exemplars, methods, principles and modes as alternatives to be continually switched between rather than a hierarchy of use.
We also propose a new evaluation method of image inpainting results based on similar exemplars.
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