Distribution Driven Extraction and Tracking of Features for Time-varying Data Analysis
Effective analysis of features in time-varying data is essential in numerous scientific applications. Feature extraction and tracking are two important tasks scientists rely upon to get insights about the dynamic nature of the large scale time-varying data. However, often the complexity of the scien...
| Veröffentlicht in: | IEEE transactions on visualization and computer graphics. - 1996. - 22(2016), 1 vom: 24. Jan., Seite 837-46 |
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| Format: | Online-Aufsatz |
| Sprache: | English |
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2016
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| Zugriff auf das übergeordnete Werk: | IEEE transactions on visualization and computer graphics |
| Schlagworte: | Journal Article Research Support, U.S. Gov't, Non-P.H.S. |
| Online verfügbar |
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