Canonical Correlation Analysis: An Overview with Application to Learning Methods

Hardoon, David, Szedmak, Sandor and Shawe-Taylor, John (2004) Canonical Correlation Analysis: An Overview with Application to Learning Methods. Neural Computation.

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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