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Vis2012.pdf
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Researchers present a visualization pipeline using persistence-based filtering and topological signatures for multivariate data analysis, which can handle high-dimensional and noisy data. The pipeline extracts central structures in a hierarchical manner and introduces "persistence rings" for visualizing topological features. The method is applied to synthetic and real-world data sets, including cultural heritage data, to discover unknown structures and automatically extract cuneiform characters from digitized tablets.

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Researchers present a visualization pipeline using persistence-based filtering and topological signatures for multivariate data analysis, which can handle...

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  • File Format: PDF
  • File Size: 3.52 MB
  • Pages: 10
  • Language: EN
  • Total Downloads: 72
  • Last Updated: 3 weeks ago

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