A study on total optimization of multiple pattern recognition systems using cooperative and adaptive training
| Project/Area Number |
25330207
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| Research Category |
Grant-in-Aid for Scientific Research (C)
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| Allocation Type | Multi-year Fund |
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| Section | 一般 |
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| Research Field |
Perceptual information processing
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| Research Institution | Waseda University |
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Principal Investigator |
Ogawa Tetsuji 早稲田大学, 理工学術院, 准教授 (70386598)
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| Project Period (FY) |
2013-04-01 – 2016-03-31
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| Project Status |
Completed (Fiscal Year 2015)
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| Budget Amount *help |
¥4,810,000 (Direct Cost: ¥3,700,000、Indirect Cost: ¥1,110,000)
Fiscal Year 2015: ¥1,430,000 (Direct Cost: ¥1,100,000、Indirect Cost: ¥330,000)
Fiscal Year 2014: ¥1,690,000 (Direct Cost: ¥1,300,000、Indirect Cost: ¥390,000)
Fiscal Year 2013: ¥1,690,000 (Direct Cost: ¥1,300,000、Indirect Cost: ¥390,000)
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| Keywords | パターン認識 / 性能予測 / 深層学習 / 全体最適化 / 行動モデリング |
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| Outline of Final Research Achievements |
Attempts have been made to cooperatively optimize multiple pattern recognition systems, developing a total system efficiently and automatically. Specifically, the clustering technique that is robust against the environmental changes and multistream pattern recognition framework, which cooperatively exploits information yielded from multiple systems, have been developed as the fundamental technologies for adaptively refining the systems to cope with the changes in characteristics of data (e.g., users and surrounding environments of the system).
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Report
(4 results)
Research Products
(32 results)
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[Journal Article] Towards machines that know when they do not know: Summary of work done at 2014 Frederick Jelinek Memorial workshop2015
Author(s)
Hynek Hermansky, Lukas Burget, Jordan Cohen, Emmanuel Dupoux Naomi Feldman, John Godfrey, Sanjeev Khudanpur, Matthew Maciejewski, Sri Harish Mallidi, Anjali Menon, Tetsuji Ogawa, Vijayaditya Peddinti, Richard Rose, Richard Stern, Matthew Wiesner, Karel Vesely
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Journal Title
Proc. ICASSP2015
Volume: 1
Pages: 5009-5013
Related Report
Peer Reviewed
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