Author:
Debavelaere Vianney, ,Bône Alexandre,Durrleman Stanley,Allassonnière Stéphanie
Publisher
Springer International Publishing
Reference15 articles.
1. Allassonnière, S., Chevallier, J.: A New Class of EM Algorithms. Escaping Local. Minima and Handling Intractable Sampling (2019)
2. Allassonniere, S., Chevallier, J., Oudard, S.: Learning spatiotemporal piecewise-geodesic trajectories from longitudinal manifold-valued data. In: Advances in Neural Information Processing Systems, pp. 1152–1160 (2017)
3. Allassonnière, S., Kuhn, E.: Stochastic algorithm for Bayesian mixture effect template estimation. ESAIM: Probab. Stat. 14, 382–408 (2010)
4. Allassonnière, S., Kuhn, E., Trouvé, A., et al.: Construction of Bayesian deformable models via a stochastic approximation algorithm: a convergence study. Bernoulli 16(3), 641–678 (2010)
5. Bône, A., Colliot, O., Durrleman, S.: Learning distributions of shape trajectories from longitudinal datasets: a hierarchical model on a manifold of diffeomorphisms. In: Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, pp. 9271–9280 (2018)
Cited by
4 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