Li, Y and 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 |
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