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75 Publications

2017 | Conference Paper | IST-REx-ID: 641
V. Trajkovska, P. Swoboda, F. Åström, and S. Petra, “Graphical model parameter learning by inverse linear programming,” presented at the SSVM: Scale Space and Variational Methods in Computer Vision, Kolding, Denmark, 2017, vol. 10302, pp. 323–334.
View | DOI
 
2017 | Journal Article | IST-REx-ID: 644 | OA
V. Kolmogorov, A. Krokhin, and M. Rolinek, “The complexity of general-valued CSPs,” SIAM Journal on Computing, vol. 46, no. 3. SIAM, pp. 1087–1110, 2017.
[Preprint] View | Files available | DOI | Download Preprint (ext.)
 
2017 | Conference Paper | IST-REx-ID: 646 | OA
J. Kuske, P. Swoboda, and S. Petra, “A novel convex relaxation for non binary discrete tomography,” presented at the SSVM: Scale Space and Variational Methods in Computer Vision, Kolding, Denmark, 2017, vol. 10302, pp. 235–246.
[Submitted Version] View | DOI | Download Submitted Version (ext.)
 
2017 | Thesis | IST-REx-ID: 992 | OA
M. Rolinek, “Complexity of constraint satisfaction,” Institute of Science and Technology Austria, 2017.
[Published Version] View | Files available | DOI
 
2017 | Conference Paper | IST-REx-ID: 1192 | OA
A. Kazda, V. Kolmogorov, and M. Rolinek, “Even delta-matroids and the complexity of planar Boolean CSPs,” presented at the SODA: Symposium on Discrete Algorithms, Barcelona, Spain, 2017, pp. 307–326.
[Submitted Version] View | Files available | DOI | Download Submitted Version (ext.) | WoS
 
2017 | Conference Paper | IST-REx-ID: 916 | OA
P. Swoboda, C. Rother, C. Abu Alhaija, D. Kainmueller, and B. Savchynskyy, “A study of lagrangean decompositions and dual ascent solvers for graph matching,” presented at the CVPR: Computer Vision and Pattern Recognition, Honolulu, HA, United States, 2017, vol. 2017, pp. 7062–7071.
[Submitted Version] View | Files available | DOI | WoS
 
2017 | Conference Paper | IST-REx-ID: 915 | OA
P. Swoboda and B. Andres, “A message passing algorithm for the minimum cost multicut problem,” presented at the CVPR: Computer Vision and Pattern Recognition, Honolulu, HA, United States, 2017, vol. 2017, pp. 4990–4999.
[Submitted Version] View | Files available | DOI | WoS
 
2017 | Conference Paper | IST-REx-ID: 917 | OA
P. Swoboda, J. Kuske, and B. Savchynskyy, “A dual ascent framework for Lagrangean decomposition of combinatorial problems,” presented at the CVPR: Computer Vision and Pattern Recognition, Honolulu, HA, United States, 2017, vol. 2017, pp. 4950–4960.
[Submitted Version] View | Files available | DOI | WoS
 
2017 | Conference Paper | IST-REx-ID: 274 | OA
V. Kolmogorov, “A faster approximation algorithm for the Gibbs partition function,” in Proceedings of the 31st Conference On Learning Theory, 2017, vol. 75, pp. 228–249.
[Published Version] View | Files available | arXiv
 
2017 | Research Data | IST-REx-ID: 5561 | OA
D. Kainmueller, F. Jug, C. Rother, and G. Meyers, “Graph matching problems for annotating C. Elegans.” Institute of Science and Technology Austria, 2017.
[Published Version] View | Files available | DOI
 

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