Graph attribute embedding via Riemannian submersion learning
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Zhao, Haifeng
Robles-Kelly, Antonio
Zhou, Jun
Lu, Jianfeng
Yang, Jing-Yu
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Academic Press
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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
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Computer Vision and Image Understanding
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2037-12-31
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