Test environment running 7.6.6

Cultural advice

The Australian National University acknowledges, celebrates and pays our respects to the Ngunnawal and Ngambri people of the Canberra region and to all First Nations Australians on whose traditional lands we meet and work, and whose cultures are among the oldest continuing cultures in human history.

Aboriginal and Torres Strait Islander peoples are advised that ANU Library collections may include images, names, voices, and other representations of deceased persons.

Material in the collection may contain terms, language or views that reflect the period in which the item was created and may be considered inappropriate today.

Graph attribute embedding via Riemannian submersion learning

Loading...
Thumbnail Image

Date

Authors

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

Journal Title

Journal ISSN

Volume Title

Publisher

Academic Press

Abstract

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

Description

Keywords

Citation

Source

Computer Vision and Image Understanding

Book Title

Entity type

Access Statement

License Rights

Restricted until

2037-12-31