The University of Southampton
University of Southampton Institutional Repository

Basic metric learning

Hussain, Zakria, Shawe-Taylor, John, Saunders, Craig and Pasupa, Kitsuchart (2008) Basic metric learning s.n.

Record type: Monograph (Project Report)


This report presents a a novel Multiple Kernel Learning (MKL) algorithm for the 1-class support vector machine. The emphasis is placed on viewing the CBIR task with relevance feedback as a metric learning problem, where each image has 11 different feature extraction methods applied to it. Our method attempts at finding the most compact ball amongst the 11 different feature representations using a novel 1- and 2-norm regularisation technique for the 1-class SVM under the MKL framework. We also devise a simple way of including the set of negative examples whilst still utilising the 1-class SVM implementation.

PDF pinview-d3-1-final.pdf - Version of Record
Download (606kB)

More information

Published date: 31 December 2008
Organisations: Electronics & Computer Science


Local EPrints ID: 268316
PURE UUID: e1150c80-5330-40c9-83e4-da5c6ebdf230

Catalogue record

Date deposited: 15 Dec 2009 13:32
Last modified: 18 Jul 2017 06:55

Export record


Author: Zakria Hussain
Author: John Shawe-Taylor
Author: Craig Saunders
Author: Kitsuchart Pasupa

University divisions

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 supports OAI 2.0 with a base URL of

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.