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Graph attribute embedding via Riemannian submersion learning

Zhao, Haifeng; Robles-Kelly, Antonio; Zhou, Jun; Lu, Jianfeng; Yang, Jing-Yu

Description

In this paper, we tackle the problem of embedding a set of relational structures into a metric space for purposes of matching and categorisation. To this end, we view the problem from a Riemannian perspective and make use of the concepts of charts on the

CollectionsANU Research Publications
Date published: 2011
Type: Journal article
URI: http://hdl.handle.net/1885/69097
Source: Computer Vision and Image Understanding
DOI: 10.1016/j.cviu.2010.12.005

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