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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...
Tallennettuna:
| Julkaisussa: | PLoS One |
|---|---|
| Päätekijät: | , , , , |
| Aineistotyyppi: | Artigo |
| Kieli: | Inglês |
| Julkaistu: |
Public Library of Science
2014
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| Aiheet: | |
| Linkit: | 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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