Presented at: Using KCCA for Japanese-English corss-language information retrieval and classification.
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:||Conference item (UNSPECIFIED)|
|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
UCL > School of BEAMS > Faculty of Engineering Science > Computer Science
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