Msclique: multiple structure discovery through the maximum weighted clique problem

HIGHLIGHTS

  • who: Gerard Sanroma et al. from the Spain, University College London, Deptof Computer Science, Gower Street, London WC E have published the paper: MSClique: Multiple Structure Discovery through the Maximum Weighted Clique Problem, in the Journal: PLOS ONE | DOI:10.1371/journal.pone [0145846]. January 14, 2016 of /1371/
  • what: The authors demonstrate the effectiveness of the method in multiple-structure fitting experiments in both publicly available and in-house datasets. This approach has two main problems: inaccuracies in the initial fit are amplified in subsequent fits , and_(2) finding a stopping criterion to reach . . .

     

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