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A Deep Neural Network for Manifold-Valued Data with Applications to Neuroimaging.

, , , и . IPMI, том 11492 из Lecture Notes in Computer Science, стр. 112-124. Springer, (2019)

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A Statistical Recurrent Model on the Manifold of Symmetric Positive Definite Matrices., , , , , , , и . NeurIPS, стр. 8897-8908. (2018)On the Versatile Uses of Partial Distance Correlation in Deep Learning., , , и . ECCV (26), том 13686 из Lecture Notes in Computer Science, стр. 327-346. Springer, (2022)ManifoldNorm: Extending normalizations on Riemannian Manifolds.. CoRR, (2020)Nyströmformer: A Nyström-Based Algorithm for Approximating Self-Attention, , , , , , и . (2021)cite arxiv:2102.03902Comment: AAAI 2021; Code and supplement available at https://github.com/mlpen/Nystromformer.Statistical analysis of longitudinal data and applications to neuro-imaging., и . ICIP, стр. 211-214. IEEE, (2017)Dilated Convolutional Neural Networks for Sequential Manifold-Valued Data., , , , и . ICCV, стр. 10620-10630. IEEE, (2019)Sensor (Group Feature) Selection with Controlled Redundancy in a Connectionist Framework., , и . Int. J. Neural Syst., (2014)A Deep Neural Network for Manifold-Valued Data with Applications to Neuroimaging., , , и . IPMI, том 11492 из Lecture Notes in Computer Science, стр. 112-124. Springer, (2019)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)An Äugmentation-Free" Rotation Invariant Classification Scheme on Point-Cloud and Its Application to Neuroimaging., и . ISBI, стр. 713-716. IEEE, (2020)