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08/26/2021
Estimation of Riemannian distances between covariance operators and Gaussian processes
In this work we study two Riemannian distances between infinite-dimensio...
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06/05/2020
Entropy-Regularized 2-Wasserstein Distance between Gaussian Measures
Gaussian distributions are plentiful in applications dealing in uncertai...
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09/29/2016
Kernel Methods on Approximate Infinite-Dimensional Covariance Operators for Image Classification
This paper presents a novel framework for visual object recognition usin...
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08/09/2014
Scalable Matrix-valued Kernel Learning for High-dimensional Nonlinear Multivariate Regression and Granger Causality
We propose a general matrix-valued multiple kernel learning framework fo...
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01/31/2014