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Classification and Visualization Based on Derived Image Features: Application to Genetic Syndromes

Data transformations prior to analysis may be beneficial in classification tasks. In this article we investigate a set of such transformations on 2D graph-data derived from facial images and their effect on classification accuracy in a high-dimensional setting. These transformations are low-variance...

詳細記述

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書誌詳細
出版年:PLoS One
主要な著者: Balliu, Brunilda, Würtz, Rolf P., Horsthemke, Bernhard, Wieczorek, Dagmar, Böhringer, Stefan
フォーマット: Artigo
言語:Inglês
出版事項: Public Library of Science 2014
主題:
オンライン・アクセス:https://ncbi.nlm.nih.gov/pmc/articles/PMC4236018/
https://ncbi.nlm.nih.gov/pubmed/25405460
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1371/journal.pone.0109033
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