Examinando por Materia "Eigenfaces"
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Ítem Modelo matemático combinado para la clasificación de neuroimágenes basado en medidas de similaridad entre hemisferios del cerebro(Universidad EAFIT, 2020) Cardona Pineda, Danny Styvens; Laniado Rodas, HenryThe main contribution of this work is the combination of similarity measures, methods for the construction of subspaces and classification models. Specifically, the NCC was used as a measure of similarity, which was projected to subspace in singular value decomposition following the Eigenfaces methodology, to then apply classification models on these projections. Results with an accuracy of 81% and a predictive capacity of at least 79% were observed for this combination of methods.