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Nonlinear Regression on Riemannian Manifolds and Its Applications to Neuro-Image Analysis.

, , , , и . MICCAI (1), том 9349 из Lecture Notes in Computer Science, стр. 719-727. Springer, (2015)

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Andrea Monami

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A Statistical Recurrent Model on the Manifold of Symmetric Positive Definite Matrices., , , , , , , и . NeurIPS, стр. 8897-8908. (2018)Robust Fréchet Mean and PGA on Riemannian Manifolds with Applications to Neuroimaging., , и . IPMI, том 10265 из Lecture Notes in Computer Science, стр. 3-15. Springer, (2017)Statistics on the space of trajectories for longitudinal data analysis., , и . ISBI, стр. 999-1002. IEEE, (2017)Interpolation on the Manifold of K Component GMMs., , , , и . ICCV, стр. 2884-2892. IEEE Computer Society, (2015)DMR-CNN: A CNN Tailored For DMR Scans With Applications To PD Classification., , , , и . ISBI, стр. 388-391. IEEE, (2019)A Nonlinear Regression Technique for Manifold Valued Data with Applications to Medical Image Analysis., , , , , и . CVPR, стр. 4424-4432. IEEE Computer Society, (2016)Sparse Exact PGA on Riemannian Manifolds., , и . ICCV, стр. 5020-5028. IEEE Computer Society, (2017)H-CNNs: Convolutional Neural Networks for Riemannian Homogeneous Spaces., , и . CoRR, (2018)VolterraNet: A higher order convolutional network with group equivariance for homogeneous manifolds., , , и . CoRR, (2021)Nonlinear Regression on Riemannian Manifolds and Its Applications to Neuro-Image Analysis., , , , и . MICCAI (1), том 9349 из Lecture Notes in Computer Science, стр. 719-727. Springer, (2015)