Skip navigation
Skip navigation

Graph attribute embedding via Riemannian submersion learning

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


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
Source: Computer Vision and Image Understanding
DOI: 10.1016/j.cviu.2010.12.005


File Description SizeFormat Image
01_Zhao_Graph_attribute_embedding_via_2011.pdf2.33 MBAdobe PDF    Request a copy

Items in Open Research are protected by copyright, with all rights reserved, unless otherwise indicated.

Updated:  19 May 2020/ Responsible Officer:  University Librarian/ Page Contact:  Library Systems & Web Coordinator