- (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.
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.
|2004 CanonicalCorrelationAnalysisAnO||David R. Hardoon|
Sandor R. Szedmak
|Canonical Correlation Analysis: An Overview with Application to Learning Methods||10.1162/0899766042321814||2004|