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Do we really need a large number of particles to simulate bimolecular reactive transport with random walk methods? A kernel density estimation approach.

Maryam RahbaralamDaniel Fernàndez-GarciaXavier Sanchez-Vila
Published in: J. Comput. Phys. (2015)
Keyphrases
  • random walk
  • kernel density estimation
  • density estimation
  • machine learning methods
  • image segmentation
  • object recognition
  • k means
  • em algorithm
  • distance function
  • object segmentation
  • nodes of a graph