References in zbMATH (referenced in 88 articles , 1 standard article )

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  1. Liu, Qingjie; Huang, Di; Wang, Yunhong; Wei, Hong; Tang, Yuanyan: Built-up area detection based on a Bayesian saliency model (2017)
  2. Wu, Weiwei; Zhou, Zhuhuang; Wu, Shuicai; Zhang, Yanhua: Automatic liver segmentation on volumetric CT images using supervoxel-based graph cuts (2016)
  3. Bae, Egil; Tai, Xue-Cheng: Efficient global minimization methods for image segmentation models with four regions (2015)
  4. Caselles, V.; Chambolle, A.; Novaga, M.: Total variation in imaging (2015)
  5. Merkurjev, Ekaterina; Bae, Egil; Bertozzi, Andrea L.; Tai, Xue-Cheng: Global binary optimization on graphs for classification of high-dimensional data (2015)
  6. Schmitzer, Bernhard; Schnörr, Christoph: Globally optimal joint image segmentation and shape matching based on Wasserstein modes (2015)
  7. Antunes, Michel; Barreto, João P.: SymStereo: stereo matching using induced symmetry (2014)
  8. Archetti, C.; Guastaroba, G.; Speranza, M.G.: An ILP-refined tabu search for the directed profitable rural postman problem (2014)
  9. Archetti, Claudia; Bianchessi, Nicola; Speranza, M.Grazia: Branch-and-cut algorithms for the split delivery vehicle routing problem (2014)
  10. Bresson, Xavier; Tai, Xue-Cheng; Chan, Tony F.; Szlam, Arthur: Multi-class transductive learning based on $\ell^1$ relaxations of Cheeger cut and Mumford-Shah-Potts model (2014)
  11. Chang, Joshua C.; Chou, Tom: Iterative graph cuts for image segmentation with a nonlinear statistical shape prior (2014)
  12. Gao, Yonghui; Yang, Jie: The application of cellular automaton in medical semiautomatic segmentation (2014)
  13. Kowdle, Adarsh; Chang, Yao-Jen; Gallagher, Andrew; Batra, Dhruv; Chen, Tsuhan: Putting the user in the loop for image-based modeling (2014) ioport
  14. Lermé, N.; Malgouyres, F.: A reduction method for graph cut optimization (2014)
  15. Ma, Zhanyu; Rana, Pravin Kumar; Taghia, Jalil; Flierl, Markus; Leijon, Arne: Bayesian estimation of Dirichlet mixture model with variational inference (2014)
  16. Yin, Shibai; Zhao, Xiangmo; Wang, Weixing; Gong, Minglun: Efficient multilevel image segmentation through fuzzy entropy maximization and graph cut optimization (2014) ioport
  17. Yuan, Jing; Bae, Egil; Tai, Xue-Cheng; Boykov, Yuri: A spatially continuous max-flow and min-cut framework for binary labeling problems (2014)
  18. Nieuwenhuis, Claudia; Töppe, Eno; Cremers, Daniel: A survey and comparison of discrete and continuous multi-label optimization approaches for the Potts model (2013)
  19. Shekhovtsov, Alexander; Hlaváč, Václav: A distributed mincut/maxflow algorithm combining path augmentation and push-relabel (2013)
  20. Tighe, Joseph; Lazebnik, Svetlana: Superparsing (2013) ioport

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