Author:
Bae Egil,Yuan Jing,Tai Xue-Cheng
Publisher
Springer Science and Business Media LLC
Subject
Artificial Intelligence,Computer Vision and Pattern Recognition,Software
Reference54 articles.
1. Bae, E., & Tai, X. C. (2009a). Graph cut optimization for the piecewise constant level set method applied to multiphase image segmentation. In Scale space and variational methods in computer vision (pp. 1–13). Berlin: Springer.
2. Bae, E., & Tai, X.-C. (2009b). Efficient global minimization for the multiphase Chan-Vese model of image segmentation. In Energy minimization methods in computer vision and pattern recognition (EMMCVPR) (pp. 28–41).
3. Banerjee, S., Merugu, I., Dhillon, J., & Ghosh, J. (2004). Clustering with Bregman divergences. Journal of Machine Learning Research, 234–245.
4. Boykov, Y., & Kolmogorov, V. (2001). An experimental comparison of min-cut/max-flow algorithms for energy minimization in vision. IEEE Transactions on Pattern Analysis and Machine Intelligence, 26, 359–374.
5. Boykov, Y., & Kolmogorov, V. (2003). Computing geodesics and minimal surfaces via graph cuts. In ICCV ’03: proceedings of the ninth IEEE international conference on computer vision (pp. 26–33). Washington: IEEE Computer Society.
Cited by
117 articles.
订阅此论文施引文献
订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献