Bibliography

The API reference documentation for nifty

[AFuksovaL16]

Bjoern Andres, Andrea Fuksová, and Jan-Hendrik Lange. Lifting of multicuts. CoRR, 2016. URL: http://arxiv.org/abs/1503.03791.

[AKB+11]

Bjoern Andres, Jörg H. Kappes, Thorsten Beier, Ullrich Köthe, and Fred A. Hamprecht. Probabilistic image segmentation with closedness constraints. In ICCV. 2011.

[bei16]

An Efficient Fusion Move Algorithm for the Minimum Cost Lifted Multicut Problem, volume LNCS 9906, Springer, 2016. doi:10.1007/978-3-319-46475-6_44.

[BPR+17]

T Beier, C Pape, N Rahaman, T Prange, S Berg, D Bock, A Cardona, G W Knott, S M Plaza, L K Scheffer, U Köthe, A Kreshuk, and F A Hamprecht. Multicut brings automated neurite segmentation closer to human performance. Nature Methods, 14:101–102, 2017. URL: http://rdcu.be/oVDQ, doi:10.1038/nmeth.4151.

[BKK+14]

T. Beier, T. Kröger, J. H. Kappes, U. Köthe, and F. A, Hamprecht. Cut, glue & cut: a fast, approximate solver for multicut partitioning. In CVPR. Proceedings, in press. 2014.

[KSA+11a]

Jörg H. Kappes, Markus Speth, Björn Andres, Gerhard Reinelt, and Christoph Schnörr. Globally optimal image partitioning by multicuts. In EMMCVPR. 2011.

[KSA+11b]

Jörg Hendrik Kappes, Markus Speth, Björn Andres, Gerhard Reinelt, and Christoph Schnörr. Globally optimal image partitioning by multicuts. In Proceedings of the 8th International Conference on Energy Minimization Methods in Computer Vision and Pattern Recognition, EMMCVPR‘11, 31–44. Berlin, Heidelberg, 2011. Springer-Verlag. URL: http://dl.acm.org/citation.cfm?id=2032617.2032621.

[KLB+15]

M. Keuper, E. Levinkov, N. Bonneel, G. Lavoue, T. Brox, and B. Andres. Efficient decomposition of image and mesh graphs by lifted multicuts. In IEEE International Conference on Computer Vision (ICCV). 2015. URL: http://lmb.informatik.uni-freiburg.de/Publications/2015/KB15a.