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Learning from uncertain curves: The 2-Wasserstein metric for Gaussian processes.

, и . NIPS, стр. 5660-5670. (2017)

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Annika Aasa

 

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Leveraging Shape and Spatial Information for Spontaneous Preterm Birth Prediction., , , , , , , , , и . ASMUS@MICCAI, том 14337 из Lecture Notes in Computer Science, стр. 57-67. Springer, (2023)TopAwaRe: Topology-Aware Registration., , и . MICCAI (2), том 11765 из Lecture Notes in Computer Science, стр. 364-372. Springer, (2019)Spot the Difference: Detection of Topological Changes via Geometric Alignment., , и . NeurIPS, стр. 14383-14395. (2021)Learning from uncertain curves: The 2-Wasserstein metric for Gaussian processes., и . NIPS, стр. 5660-5670. (2017)DiffConv: Analyzing Irregular Point Clouds with an Irregular View., и . ECCV (3), том 13663 из Lecture Notes in Computer Science, стр. 380-397. Springer, (2022)Grassmann Averages for Scalable Robust PCA., , и . CVPR, стр. 3810-3817. IEEE Computer Society, (2014)An Automatic Guidance and Quality Assessment System for Doppler Imaging of Umbilical Artery., , , , , , , и . ASMUS@MICCAI, том 14337 из Lecture Notes in Computer Science, стр. 13-22. Springer, (2023)Supervised hub-detection for brain connectivity., , , , , и . Medical Imaging: Image Processing, том 9784 из SPIE Proceedings, стр. 978409. SPIE, (2016)Geometries on Spaces of Treelike Shapes., , , , и . ACCV (2), том 6493 из Lecture Notes in Computer Science, стр. 160-173. Springer, (2010)Open Problem: Kernel methods on manifolds and metric spaces. What is the probability of a positive definite geodesic exponential kernel?, и . COLT, том 49 из JMLR Workshop and Conference Proceedings, стр. 1647-1650. JMLR.org, (2016)