@article{UBHD-68342423,
  author={Kappes, J{\"o}rg Hendrik and Swoboda, Paul and Schn{\"o}rr, Christoph},
  title={Multicuts and perturb & MAP for probabilistic graph clustering},
  year={2016},
  pages={221-237},
  language={eng},
  issn={1573-7683},
  volume={56},
  number={2},
  note={Gesehen am 19.12.2018},
  journal={Journal of mathematical imaging and vision},
  doi={10.1007/s10851-016-0659-3},
}
@incollection{UBHD-68367429,
  author={Kappes, J{\"o}rg Hendrik and Swoboda, Paul and Savchynskyy, Bogdan and Schn{\"o}rr, Christoph},
  title={Probabilistic correlation clustering and image partitioning using perturbed multicuts},
  year={2015},
  pages={231-242},
  language={eng},
  isbn={978-3-319-18461-6},
  note={Gesehen am 07.03.2019},
  booktitle={Scale Space and Variational Methods in Computer Vision},
  editor={Nikolova, Mila and Papadakis, Nicolas},
  doi={10.1007/978-3-319-18461-6_19},
}
@incollection{UBHD-68230514,
  author={Plier, Jan and Swoboda, Paul and Petra, Stefania},
  title={A novel convex relaxation for non-binary discrete tomography},
  year={2017},
  pages={235-246},
  language={eng},
  isbn={978-3-319-58771-4},
  note={Gesehen am 14.03.2018},
  booktitle={Scale Space and Variational Methods in Computer Vision},
  editor={Lauze, Francois and Dong, Yiqiu and Dahl, Anders Bjorholm},
  doi={10.1007/978-3-319-58771-4_19},
}
@article{UBHD-67767403,
  author={Swoboda, Paul and Schn{\"o}rr, Christoph},
  title={Convex variational image restoration with histogram priors},
  year={2013},
  pages={1719-1735},
  language={eng},
  issn={1936-4954},
  volume={6},
  number={3},
  note={Gesehen am 04.02.2015},
  journal={SIAM journal on imaging sciences},
  doi={10.1137/120897535},
}
@book{UBHD-68177598,
  author={Swoboda, Paul},
  title={New convex relaxations and global optimality in variational imaging},
  address={Heidelberg},
  year={2016},
  pages={1 Online-Ressource (123 Seiten)},
  language={eng},
  school={Dissertation,  Heidelberg University,  2016},
  doi={10.11588/heidok.00023315},
  keywords={Bildverarbeitung / Maschinelles Sehen / Optimierung},
  url={https://nbn-resolving.org/urn:nbn:de:bsz:16-heidok-233151},
  library={UB},
}
@book{UBHD-68184266,
  author={Swoboda, Paul},
  title={New convex relaxations and global optimality in variational imaging},
  address={Heidelberg},
  year={2016},
  pages={xxiii, 99 Seiten},
  language={eng},
  school={Dissertation,  Heidelberg University,  2016},
  keywords={Bildverarbeitung / Maschinelles Sehen / Optimierung},
  library={UB [Signatur: 2017 U 827] ; MA [Signatur: Diss. Swobo]},
}
@article{UBHD-68580831,
  author={Swoboda, Paul and Kappes, J{\"o}rg Hendrik and Schn{\"o}rr, Christoph and Savchynskyy, Bogdan},
  title={Partial optimality by pruning for MAP-inference with general graphical models},
  year={2016},
  pages={1370-1382},
  language={eng},
  issn={1939-3539},
  volume={38},
  number={7},
  note={Date of publication 12 Oct 2015 ; Gesehen am 26.05.2020},
  journal={IEEE transactions on pattern analysis and machine intelligence},
  doi={10.1109/TPAMI.2015.2484327},
}
@conference{UBHD-68233035,
  author={Trajkovska, Vera and Swoboda, Paul and Åstr{\"o}m, Freddie and Petra, Stefania},
  title={Graphical model parameter learning by inverse linear programming},
  year={2017},
  pages={323-334},
  language={eng},
  isbn={978-3-319-58771-4},
  note={Gesehen am 15.03.2018},
  doi={10.1007/978-3-319-58771-4_26},
}