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An Analytical Workflow for Clustering Forensic Images
Large collections of images, if curated, drastically contribute to the quality of research in many domains.
Collaborative Learning of Semi-Supervised Clustering and Classification for Labeling Uncurated Data
In our experiment comparing manual labeling with labeling conducted with the support of Plud, we found that it reduces the time needed to label data and produces highly accurate models for this new domain.
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