| Budget Amount *help |
¥4,290,000 (Direct Cost: ¥3,300,000、Indirect Cost: ¥990,000)
Fiscal Year 2020: ¥910,000 (Direct Cost: ¥700,000、Indirect Cost: ¥210,000)
Fiscal Year 2019: ¥1,430,000 (Direct Cost: ¥1,100,000、Indirect Cost: ¥330,000)
Fiscal Year 2018: ¥1,950,000 (Direct Cost: ¥1,500,000、Indirect Cost: ¥450,000)
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| Outline of Final Research Achievements |
In this project, we not only proposed many solutions to the research plan, i.e., noise reduction problems in BCI and BDD, large-scale data processing problems, BCI estimation accuracy and speed problems, and BCI and BDD system implementation problems, but also created many research results by constructing tensor decomposition theory and extending its practical application aspects. During this research period , he published 25 papers in international journals, 18 papers in international conferences, and 27 papers in domestic conferences, totaling 70 papers. Among them, our papers on tensor decomposition and large-scale data reconstruction received the highest priority paper award at ICASSP2019, a top-level international conference in the field of signal processing (award rate: 0.32%). Several high-level papers were accepted to ACML, IEEE Transactions on TPAMI, and NSRE, the top international conferences in the field of artificial intelligence.
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