Cut, Glue, & Cut: A Fast, Approximate Solver for Multicut Partitioning

Thorsten Beier, Thorben Kröger, Jörg H. Kappes, Ullrich Köthe, Fred A. Hamprecht. Cut, Glue, & Cut: A Fast, Approximate Solver for Multicut Partitioning. In 2014 IEEE Conference on Computer Vision and Pattern Recognition, CVPR 2014, Columbus, OH, USA, June 23-28, 2014. pages 73-80, IEEE, 2014. [doi]

@inproceedings{BeierKKKH14,
  title = {Cut, Glue, & Cut: A Fast, Approximate Solver for Multicut Partitioning},
  author = {Thorsten Beier and Thorben Kröger and Jörg H. Kappes and Ullrich Köthe and Fred A. Hamprecht},
  year = {2014},
  doi = {10.1109/CVPR.2014.17},
  url = {http://dx.doi.org/10.1109/CVPR.2014.17},
  researchr = {https://researchr.org/publication/BeierKKKH14},
  cites = {0},
  citedby = {0},
  pages = {73-80},
  booktitle = {2014 IEEE Conference on Computer Vision and Pattern Recognition, CVPR 2014, Columbus, OH, USA, June 23-28, 2014},
  publisher = {IEEE},
}