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dc.contributor.authorBernard, Jürgenen_US
dc.contributor.authorZeppelzauer, Matthiasen_US
dc.contributor.authorSedlmair, Michaelen_US
dc.contributor.authorAigner, Wolfgangen_US
dc.contributor.editorMichael Sedlmair and Christian Tominskien_US
dc.date.accessioned2017-06-12T05:16:33Z
dc.date.available2017-06-12T05:16:33Z
dc.date.issued2017
dc.identifier.isbn978-3-03868-042-0
dc.identifier.urihttp://dx.doi.org/10.2312/eurova.20171123
dc.identifier.urihttps://diglib.eg.org:443/handle/10.2312/eurova20171123
dc.description.abstractAssigning labels to data instances is a prerequisite for many machine learning tasks. Similarly, labeling is applied in visualinteractive analysis approaches. However, the strategies for creating labels often differ in the two fields. In this paper, we study the process of labeling data instances with the user in the loop, from both the machine learning and visual-interactive perspective. Based on a review of differences and commonalities, we propose the 'Visual-Interactive Labeling' (VIAL) process, conflating the strengths of both. We describe the six major steps of the process and highlight their related challenges.en_US
dc.publisherThe Eurographics Associationen_US
dc.subjectHuman-centered computing
dc.subject
dc.subjectVisual analytics
dc.subjectInformation visualization
dc.subjectTheory of computation
dc.subject
dc.subjectActive learning
dc.titleA Unified Process for Visual-Interactive Labelingen_US
dc.description.seriesinformationEuroVis Workshop on Visual Analytics (EuroVA)
dc.description.sectionheadersSpace and Time
dc.identifier.doi10.2312/eurova.20171123
dc.identifier.pages73-77


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