Graph attribute embedding via Riemannian submersion learning

Date

2011

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

Keywords: Data sets; Digit classification; Embedded graphs; Graph embeddings; Graph matchings; L2-norm; Metric spaces; MPEG-7 database; Node coordinates; Posterior probability; Probability density estimation; Relational matching; Relational structures; Riemannian g Graph embedding; Relational matching; Riemannian geometry

Citation

Source

Computer Vision and Image Understanding

Type

Journal article

Book Title

Entity type

Access Statement

License Rights

Restricted until

2037-12-31
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