Predicting and Grouping Digitized Paintings by Style using Unsupervised Feature Learning.
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DOI: 10.1016/j.culher.2017.11.008
Abstract: Objective To create an system to aid in the analysis of art history by classifying and grouping digitized paintings based on stylistic features automatically learned without prior knowledge. Material and Methods 6,776 digitized paintings from… read more here.
Keywords: feature learning; analysis; digitized paintings; grouping digitized ... See more keywords