HIGHLIGHTS
SUMMARY
One interesting area is information retrieval from images, whereby an automated tool is used to identify objects in images. The concept of identifying pills from images has been studied, particularly using deep neural_networks, with promising results. Unlike these studies, the proposed approach does not only use neural_networks, but also incorporates the non-parametric classifier known as k-Nearest Neighbors (k-NN). K-NN can obtain more convoluted decision boundaries than the usual mapping technique used in the prediction layer of a generic convolutional neural_network. The authors investigate the challenging problem of image retrieval, specifically . . .
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