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A GMM based algorithm to generate point-cloud and its application to neuroimaging., and . CoRR, (2019)Dictionary Learning and Sparse Coding on Statistical Manifolds., , and . CoRR, (2018)Nonlinear Regression on Riemannian Manifolds and Its Applications to Neuro-Image Analysis., , , , and . MICCAI (1), volume 9349 of Lecture Notes in Computer Science, page 719-727. Springer, (2015)Forward Operator Estimation in Generative Models with Kernel Transfer Operators., , and . CoRR, (2021)Sensor (Group Feature) Selection with Controlled Redundancy in a Connectionist Framework., , and . Int. J. Neural Syst., (2014)A Deep Neural Network for Manifold-Valued Data with Applications to Neuroimaging., , , and . IPMI, volume 11492 of Lecture Notes in Computer Science, page 112-124. Springer, (2019)VolterraNet: A higher order convolutional network with group equivariance for homogeneous manifolds., , , and . CoRR, (2021)An Äugmentation-Free" Rotation Invariant Classification Scheme on Point-Cloud and Its Application to Neuroimaging., and . ISBI, page 713-716. IEEE, (2020)Flow-based Generative Models for Learning Manifold to Manifold Mappings., , , and . AAAI, page 11042-11052. AAAI Press, (2021)Intrinsic Grassmann Averages for Online Linear and Robust Subspace Learning., , and . CVPR, page 801-809. IEEE Computer Society, (2017)