| Budget Amount *help |
¥4,810,000 (Direct Cost: ¥3,700,000、Indirect Cost: ¥1,110,000)
Fiscal Year 2016: ¥1,690,000 (Direct Cost: ¥1,300,000、Indirect Cost: ¥390,000)
Fiscal Year 2015: ¥1,690,000 (Direct Cost: ¥1,300,000、Indirect Cost: ¥390,000)
Fiscal Year 2014: ¥1,430,000 (Direct Cost: ¥1,100,000、Indirect Cost: ¥330,000)
|
|---|
| Outline of Final Research Achievements |
In this study, we tried to realize human-friendly intelligent information processing technologies through development of effective analysis techniques for documents and web data with co-clustering-based summarization of large scale co-occurrence data.
In theoretical aspects, we achieved improvement of partition quality by adjusting intrinsic fuzziness of statistical co-clustering models and robustification of co-clustering models against outliers by introducing a noise rejection mechanism. In practical aspects, we achieved utilization of semi-supervision in Twitter document analysis and privacy preservation in eigen-face authentication with anonymization of personal information.
|
