The University of Southampton
University of Southampton Institutional Repository

Editorial: segmentation and classification: theories, algorithms and applications

Editorial: segmentation and classification: theories, algorithms and applications
Editorial: segmentation and classification: theories, algorithms and applications
classification, computer vision, image processing, machine learning, segmentation
2095-2236
Cai, Xiaohao
de483445-45e9-4b21-a4e8-b0427fc72cee
Wen, Youwei
b8c0c005-a437-4e48-bcfb-2e598065ca4b
Liang, Jianming
286b5fb8-731b-400b-8815-7b3d51b77ec4
Cai, Xiaohao
de483445-45e9-4b21-a4e8-b0427fc72cee
Wen, Youwei
b8c0c005-a437-4e48-bcfb-2e598065ca4b
Liang, Jianming
286b5fb8-731b-400b-8815-7b3d51b77ec4

Cai, Xiaohao, Wen, Youwei and Liang, Jianming (2024) Editorial: segmentation and classification: theories, algorithms and applications. Frontiers in Computer Science, 6, [1363578]. (doi:10.3389/fcomp.2024.1363578).

Record type: Editorial
Text
fcomp-06-1363578 - Version of Record
Available under License Creative Commons Attribution.
Download (75kB)

More information

Accepted/In Press date: 9 January 2024
Published date: 18 January 2024
Keywords: classification, computer vision, image processing, machine learning, segmentation

Identifiers

Local EPrints ID: 491919
URI: http://eprints.soton.ac.uk/id/eprint/491919
ISSN: 2095-2236
PURE UUID: 2c435e16-cbf5-4f6e-b809-e78f0dabed41
ORCID for Xiaohao Cai: ORCID iD orcid.org/0000-0003-0924-2834

Catalogue record

Date deposited: 08 Jul 2024 16:35
Last modified: 12 Jul 2024 02:06

Export record

Altmetrics

Contributors

Author: Xiaohao Cai ORCID iD
Author: Youwei Wen
Author: Jianming Liang

Download statistics

Downloads from ePrints over the past year. Other digital versions may also be available to download e.g. from the publisher's website.

View more statistics

Atom RSS 1.0 RSS 2.0

Contact ePrints Soton: eprints@soton.ac.uk

ePrints Soton supports OAI 2.0 with a base URL of http://eprints.soton.ac.uk/cgi/oai2

This repository has been built using EPrints software, developed at the University of Southampton, but available to everyone to use.

We use cookies to ensure that we give you the best experience on our website. If you continue without changing your settings, we will assume that you are happy to receive cookies on the University of Southampton website.

×