Funder
Division of Mathematical Sciences
National Science Foundation
Publisher
Springer Science and Business Media LLC
Reference92 articles.
1. Alpert, S., Galun, M., Basri, R., Brandt, A.: Image segmentation by probabilistic bottom-up aggregation and cue integration. In: Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, pp. 315–327 (2007)
2. Ambrosio, L., Tortorelli, V.M.: Approximation of functional depending on jumps by elliptic functional via $$\Gamma$$-convergence. Commun. Pure Appl. Math. 43(8), 999–1036 (1990)
3. Arthur, D., Vassilvitskii, S.: k-means++: the advantages of careful seeding. In: 2007 ACM-SIAM Symposium on Discrete Algorithms (SODA’07), pp. 1027–1035 (2007)
4. Bar, L., Chan, T.F., Chung, G., Jung, M., Kiryati, N., Mohieddine, R., Sochen, N., Vese, L.A.: Mumford and Shah model and its applications to image segmentation and image restoration. In: Scherzer, O. (ed.) Handbook of Mathematical Methods in Imaging, pp. 1095–1157. Springer, New York, NY (2011). https://doi.org/10.1007/978-0-387-92920-0_25
5. Beck, A.: First-Order Methods in Optimization. SIAM, Philadelphia (2017)