Riemannian Variance Filtering: An Independent Filtering Scheme for Statistical Tests on Manifold-Valued Data

Ligang Zheng; Hyunwoo J. Kim; Nagesh Adluru; Michael A. Newton; Vikas Singh

doi:10.1109/CVPRW.2017.99

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2017 IEEE Conference on Computer Vision and Pattern Recognition Workshops (CVPRW)

Riemannian Variance Filtering: An Independent Filtering Scheme for Statistical Tests on Manifold-Valued Data

Year: 2017, Pages: 699-708

DOI Bookmark: 10.1109/CVPRW.2017.99

Authors

Ligang Zheng, Guangzhou Univ., Guangzhou, China
Hyunwoo J. Kim, Univ. of Wisconsin-Madison, Madison, WI, USA
Nagesh Adluru, Univ. of Wisconsin-Madison, Madison, WI, USA
Michael A. Newton, Univ. of Wisconsin-Madison, Madison, WI, USA
Vikas Singh, Univ. of Wisconsin-Madison, Madison, WI, USA

Riemannian Variance Filtering: An Independent Filtering Scheme for Statistical Tests on Manifold-Valued Data

Authors

Abstract