Interactive Image Feature Selection Aided by Dimensionality Reduction

dc.contributor.authorRauber, Paulo Eduardoen_US
dc.contributor.authorSilva, Renato Rodrigues Oliveira daen_US
dc.contributor.authorFeringa, Sanderen_US
dc.contributor.authorCelebi, M. Emreen_US
dc.contributor.authorFalcão, Alexandre X.en_US
dc.contributor.authorTelea, Alexandru C.en_US
dc.contributor.editorE. Bertini and J. C. Robertsen_US
dc.date.accessioned2015-05-24T19:45:48Z
dc.date.available2015-05-24T19:45:48Z
dc.date.issued2015en_US
dc.description.abstractFeature selection is an important step in designing image classification systems. While many automatic feature selection methods exist, most of them are opaque to their users. We consider that users should be able to gain insight into how observations behave in the feature space, since this may allow the design of better features and the incorporation of domain knowledge. For this purpose, we propose a methodology for interactive and iterative selection of image features aided by dimensionality reduction plots and complementary exploration tools. We evaluate our proposal on the problem of feature selection for skin lesion image classification.en_US
dc.description.sectionheadersHigh-dimensional Data and the Design Processen_US
dc.description.seriesinformationEuroVis Workshop on Visual Analytics (EuroVA)en_US
dc.identifier.doi10.2312/eurova.20151098en_US
dc.identifier.pages19-23en_US
dc.identifier.urihttps://doi.org/10.2312/eurova.20151098en_US
dc.publisherThe Eurographics Associationen_US
dc.subjectH.5.2 [INFORMATION INTERFACES AND PRESENTATION]en_US
dc.subjectUser Interfaces—Useren_US
dc.subjectcentered designen_US
dc.titleInteractive Image Feature Selection Aided by Dimensionality Reductionen_US
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