2004 CanonicalCorrelationAnalysisAnO

• (Hardoon et al., 2004) ⇒ David R. Hardoon, Sandor R. Szedmak, and John R. Shawe-Taylor. (2004). “Canonical Correlation Analysis: An Overview with Application to Learning Methods.” In: Neural Computation Journal, 16(12). doi:10.1162/0899766042321814

Subject Headings: Canonical Correlation.

Cited By

• http://scholar.google.com/scholar?q=%222004%22+Canonical+Correlation+Analysis%3A+An+Overview+with+Application+to+Learning+Methods
• http://dl.acm.org/citation.cfm?id=1119696.1119703&preflayout=flat#citedby

Quotes

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 on only their content from a text query. We compare orthogonalization approaches against a standard cross-representation retrieval technique known as the generalized vector space model.

References

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	Author	volume	Date Value	title	type	journal	titleUrl	doi	note	year
2004 CanonicalCorrelationAnalysisAnO	John Shawe-Taylor David R. Hardoon Sandor R. Szedmak			Canonical Correlation Analysis: An Overview with Application to Learning Methods				10.1162/0899766042321814		2004