Scalable Geometric Learning with Correlation-Based Functional Brain Networks

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Scalable Geometric Learning with Correlation-Based Functional Brain Networks

31 March 2025

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Papers citing "Scalable Geometric Learning with Correlation-Based Functional Brain Networks"

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Title
Rdimtools: An R package for Dimension Reduction and Intrinsic Dimension Estimation Kisung You 37 14 0 22 May 2020
Comparison of brain connectomes using geodesic distance on manifold:a twin study A. Yamin M. Dayan L. Squarcina P. Brambilla Vittorio Murino V. Diwadkar Diego Sona OT 41 16 0 04 Feb 2019
On Wasserstein Two Sample Testing and Related Families of Nonparametric Tests Aaditya Ramdas Nicolas García Trillos Marco Cuturi 84 487 0 08 Sep 2015
Kernel Methods on Riemannian Manifolds with Gaussian RBF Kernels Sadeep Jayasumana Leonid Sigal Mathieu Salzmann Hongdong Li Mehrtash Harandi 103 240 0 30 Nov 2014
Geodesic Exponential Kernels: When Curvature and Linearity Conflict Aasa Feragen F. Lauze Søren Hauberg BDL 118 144 0 02 Nov 2014
Shrinkage Algorithms for MMSE Covariance Estimation Yilun Chen A. Wiesel Yonina C. Eldar Alfred Hero 103 480 0 27 Jul 2009
A Tutorial on Spectral Clustering U. V. Luxburg 292 10,571 0 01 Nov 2007