Parallel Transport on the Cone Manifold of SPD Matrices for Domain Adaptation.
IEEE Transactions on Signal Processing(2019)
摘要
In this paper, we consider the problem of domain adaptation. We propose to view the data through the lens of covariance matrices and present a method for domain adaptation using parallel transport on the cone manifold of symmetric positive-definite matrices. We provide rigorous analysis using Riemannian geometry, illuminating the theoretical guarantees and benefits of the presented method. In addi...
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关键词
Covariance matrices,Manifolds,Symmetric matrices,Geometry,Adaptation models,Data models,Kernel
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