| Budget Amount *help |
¥52,390,000 (Direct Cost: ¥40,300,000、Indirect Cost: ¥12,090,000)
Fiscal Year 2017: ¥10,790,000 (Direct Cost: ¥8,300,000、Indirect Cost: ¥2,490,000)
Fiscal Year 2016: ¥10,920,000 (Direct Cost: ¥8,400,000、Indirect Cost: ¥2,520,000)
Fiscal Year 2015: ¥11,180,000 (Direct Cost: ¥8,600,000、Indirect Cost: ¥2,580,000)
Fiscal Year 2014: ¥11,440,000 (Direct Cost: ¥8,800,000、Indirect Cost: ¥2,640,000)
Fiscal Year 2013: ¥8,060,000 (Direct Cost: ¥6,200,000、Indirect Cost: ¥1,860,000)
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| Outline of Final Research Achievements |
Filtering problems aims at estimating the current unobserved state variable from the unknown dynamics of the unobserved state variables and indirect observations. We consider filtering under the assumption that the observation model is uncertain and not able to be modeled easily, and proposed effective algorithms in such difficult situations. We confirmed the advantage of the proposed algorithms over existing relevant methods. We also studied fast methods for complex sparse modeling, and proposed an optimization methods that achieves the best convergence rate theoretically.
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