References in zbMATH (referenced in 135 articles , 1 standard article )

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  1. Veldt, Nate; Benson, Austin R.; Kleinberg, Jon: Hypergraph cuts with general splitting functions (2022)
  2. Burrows, Liam; Guo, Weihong; Chen, Ke; Torella, Francesco: Reproducible kernel Hilbert space based global and local image segmentation (2021)
  3. Gangloff, Hugo; Courbot, Jean-Baptiste; Monfrini, Emmanuel; Collet, Christophe: Unsupervised image segmentation with Gaussian pairwise Markov fields (2021)
  4. Kiefer, Lukas; Storath, Martin; Weinmann, Andreas: Iterative Potts minimization for the recovery of signals with discontinuities from indirect measurements: the multivariate case (2021)
  5. Leon, Leissi M. C.; Ciesielski, Krzysztof C.; Miranda, Paulo A. V.: Efficient hierarchical multi-object segmentation in layered graphs (2021)
  6. Manousakis, Eleftherios; Repoussis, Panagiotis; Zachariadis, Emmanouil; Tarantilis, Christos: Improved branch-and-cut for the inventory routing problem based on a two-commodity flow formulation (2021)
  7. Mustafa, Armin; Volino, Marco; Kim, Hansung; Guillemaut, Jean-Yves; Hilton, Adrian: Temporally coherent general dynamic scene reconstruction (2021)
  8. Pan, Hailong; Guan, Tao; Luo, Keyang; Luo, Yawei; Yu, Junqing: A visibility-based surface reconstruction method on the GPU (2021)
  9. Zhao, Jie; Mo, Xunxue; Zhao, Pengda; Chen, Yongqing: Using the graph-cut method to segment the mineralization area in the gejiu region of Yunnan province, China (2021)
  10. Babczyński, Tomasz; Ptak, Roman: Line segmentation of handwritten text using histograms and tensor voting (2020)
  11. Hanafi, Saïd; Mansini, Renata; Zanotti, Roberto: The multi-visit team orienteering problem with precedence constraints (2020)
  12. Hintsch, Timo; Irnich, Stefan: Exact solution of the soft-clustered vehicle-routing problem (2020)
  13. Lermé, Nicolas; Le Hégarat-Mascle, Sylvie; Malgouyres, François; Lachaize, Marie: Multilayer joint segmentation using MRF and graph cuts (2020)
  14. Falcão, Alexandre; Bragantini, Jordão: The role of optimum connectivity in image segmentation: can the algorithm learn object information during the process? (2019)
  15. Průša, Daniel; Werner, Tomáš: Solving LP relaxations of some NP-hard problems is as hard as solving any linear program (2019)
  16. Ceselli, Alberto; Damiani, Maria Luisa; Righini, Giovanni; Valorsi, Diego: Mathematical programming algorithms for spatial cloaking (2018)
  17. Fan, Zhou; Guan, Leying: Approximate (\ell_0)-penalized estimation of piecewise-constant signals on graphs (2018)
  18. Hühnerbein, Ruben; Savarino, Fabrizio; Åström, Freddie; Schnörr, Christoph: Image labeling based on graphical models using Wasserstein messages and geometric assignment (2018)
  19. Angelelli, E.; Gendreau, M.; Mansini, R.; Vindigni, M.: The traveling purchaser problem with time-dependent quantities (2017)
  20. Bae, Egil; Merkurjev, Ekaterina: Convex variational methods on graphs for multiclass segmentation of high-dimensional data and point clouds (2017)

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