Using KCCA for Japanese-English cross-language information retrieval and classification
Kernel Canonical Correlation Analysis (KCCA) is a method of correlating linear relationship between two variables in a kernel defined feature space. A machine learning algorithm based on KCCA is studied for cross-language information retrieval. We apply the algorithm in Japanese-English cross-langua...
| Main Authors: | , |
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| Format: | Article |
| Language: | English |
| Published: |
2005.
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| Subjects: | |
| Online Access: | Get fulltext |