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Canonical correlation analysis; An overview with application to learning methods

Canonical correlation analysis; An overview with application to learning methods
Canonical correlation analysis; An overview with application to learning methods
We present a general method using kernel Canonical Correlation Analysis to learn a semantic representation to web images and their associated text. The semantic space provides a common representation and enables a comparison between the text and images. In the experiments we look at two approaches of retrieving images based only on their content from a text query. We compare the approaches against a standard cross-representation retrieval technique known as the Generalised Vector Space Model.
Canonical correlation analysis, kernel canonical correlation analysis, partial Gram-Schmidt orthogonolisation, Cholesky decomposition, incomplete Cholesky decomposition, kernel methods.
s.n.
Hardoon, David R.
05549e24-da95-4690-a3e2-3c672d2342b8
Szedmak, Sandor
c6a84aa3-2956-4acf-8293-a1b676f6d7d8
Shawe-Taylor, John
b1931d97-fdd0-4bc1-89bc-ec01648e928b
Hardoon, David R.
05549e24-da95-4690-a3e2-3c672d2342b8
Szedmak, Sandor
c6a84aa3-2956-4acf-8293-a1b676f6d7d8
Shawe-Taylor, John
b1931d97-fdd0-4bc1-89bc-ec01648e928b

Hardoon, David R., Szedmak, Sandor and Shawe-Taylor, John (2003) Canonical correlation analysis; An overview with application to learning methods s.n.

Record type: Monograph (Project Report)

Abstract

We present a general method using kernel Canonical Correlation Analysis to learn a semantic representation to web images and their associated text. The semantic space provides a common representation and enables a comparison between the text and images. In the experiments we look at two approaches of retrieving images based only on their content from a text query. We compare the approaches against a standard cross-representation retrieval technique known as the Generalised Vector Space Model.

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More information

Published date: May 2003
Keywords: Canonical correlation analysis, kernel canonical correlation analysis, partial Gram-Schmidt orthogonolisation, Cholesky decomposition, incomplete Cholesky decomposition, kernel methods.
Organisations: Electronics & Computer Science

Identifiers

Local EPrints ID: 259225
URI: http://eprints.soton.ac.uk/id/eprint/259225
PURE UUID: bf4d17ba-8af1-44cb-a44e-58a00160b896

Catalogue record

Date deposited: 24 Mar 2004
Last modified: 23 Sep 2020 16:32

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