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Technical Report.pdf

Kappes2015a.pdf
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🔗 Source: hci.iwr.uni-heidelberg.de
📊 Size: 1.1 MB
📄 Pages: 12 pages
⬇️ Downloads: 168

Summary

Researchers propose a probabilistic correlation clustering approach using perturbed multicuts, enabling the representation of uncertainty in image partitions through approximate marginal distributions. The method, based on recent progress in globally optimal MAP inference and perturbation-based approximations, can be applied to any graphically represented correlation clustering problem instance, including image partitioning and social network analysis.

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Description

Researchers propose a probabilistic correlation clustering approach using perturbed multicuts, enabling the representation of uncertainty in image partitions...

Technical Information

  • File Format: PDF
  • File Size: 1.1 MB
  • Pages: 12
  • Language: EN
  • Total Downloads: 168
  • Last Updated: 1 week ago

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