Affine-invariant riemannian distance between infinite-dimensional covariance operators

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Abstract

This paper studies the affine-invariant Riemannian distance on the Riemann-Hilbert manifold of positive definite operators on a separable Hilbert space. This is the generalization of the Riemannian manifold of symmetric, positive definite matrices to the infinite-dimensional setting. In particular, in the case of covariance operators in a Reproducing Kernel Hilbert Space (RKHS), we provide a closed form solution, expressed via the corresponding Gram matrices.

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APA

Minh, H. Q. (2015). Affine-invariant riemannian distance between infinite-dimensional covariance operators. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 9389, pp. 30–38). Springer Verlag. https://doi.org/10.1007/978-3-319-25040-3_4

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