The University of Southampton
University of Southampton Institutional Repository

Multiclass classification by L1 norm Support Vector Machine

Multiclass classification by L1 norm Support Vector Machine
Multiclass classification by L1 norm Support Vector Machine
Szedmak, Sandor
c6a84aa3-2956-4acf-8293-a1b676f6d7d8
Shawe-Taylor, John
b1931d97-fdd0-4bc1-89bc-ec01648e928b
Saunders, Craig
26634635-4d4d-4469-b9ec-1d68788aa47a
Hardoon, David
e9eb22b2-daf6-460c-94b1-8208c917f862
Szedmak, Sandor
c6a84aa3-2956-4acf-8293-a1b676f6d7d8
Shawe-Taylor, John
b1931d97-fdd0-4bc1-89bc-ec01648e928b
Saunders, Craig
26634635-4d4d-4469-b9ec-1d68788aa47a
Hardoon, David
e9eb22b2-daf6-460c-94b1-8208c917f862

Szedmak, Sandor, Shawe-Taylor, John, Saunders, Craig and Hardoon, David (2004) Multiclass classification by L1 norm Support Vector Machine. Pattern Recognition and Machine Learning in Computer Vision Workshop.

Record type: Conference or Workshop Item (Other)

This record has no associated files available for download.

More information

Published date: 1 May 2004
Venue - Dates: Pattern Recognition and Machine Learning in Computer Vision Workshop, 2004-04-30
Organisations: Electronics & Computer Science

Identifiers

Local EPrints ID: 265193
URI: http://eprints.soton.ac.uk/id/eprint/265193
PURE UUID: 4e31888c-c32c-4f7c-91c1-26431f68cfee

Catalogue record

Date deposited: 23 Feb 2008 15:15
Last modified: 10 Dec 2021 21:54

Export record

Contributors

Author: Sandor Szedmak
Author: John Shawe-Taylor
Author: Craig Saunders
Author: David Hardoon

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.

×