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Proceedings paper #79101

Li, Y; Shawe-Taylor, J; (2004) UNSPECIFIED In: (Proceedings) Using KCCA for Japanese-English corss-language information retrieval and classification.

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Abstract

Kernel Canonical Correlation Analysis (KCCA) is a method of correlating linear relationship between two multidimensional variables in feature space. We applied the KCCA to the Japanese-English cross-language information retrieval and classification. The results were encouraging

Type: Proceedings paper
Event: Using KCCA for Japanese-English corss-language information retrieval and classification
Keywords: Correlation Analysis, KCCA
UCL classification: UCL > School of BEAMS > Faculty of Engineering Science > Computer Science
URI: http://discovery.ucl.ac.uk/id/eprint/79101
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