ScatterNet : A Deep Subjective Similarity Model for Visual Analysis of Scatterplots
Similarity measuring methods are widely adopted in a broad range of visualization applications. In this work, we address the challenge of representing human perception in the visual analysis of scatterplots by introducing a novel deep-learning-based approach, ScatterNet, captures perception-driven s...
Ausführliche Beschreibung
Bibliographische Detailangaben
| Veröffentlicht in: | IEEE transactions on visualization and computer graphics. - 1996. - 26(2020), 3 vom: 15. März, Seite 1562-1576
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| 1. Verfasser: |
Ma, Yuxin
(VerfasserIn) |
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| Weitere Verfasser: |
Tung, Anthony K H,
Wang, Wei,
Gao, Xiang,
Pan, Zhigeng,
Chen, Wei |
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| Format: | Online-Aufsatz
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| Sprache: | English |
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| Veröffentlicht: |
2020
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| Zugriff auf das übergeordnete Werk: | IEEE transactions on visualization and computer graphics
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| Schlagworte: | Journal Article
Research Support, Non-U.S. Gov't |
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