| Budget Amount *help |
¥16,120,000 (Direct Cost: ¥12,400,000、Indirect Cost: ¥3,720,000)
Fiscal Year 2016: ¥3,250,000 (Direct Cost: ¥2,500,000、Indirect Cost: ¥750,000)
Fiscal Year 2015: ¥3,250,000 (Direct Cost: ¥2,500,000、Indirect Cost: ¥750,000)
Fiscal Year 2014: ¥3,250,000 (Direct Cost: ¥2,500,000、Indirect Cost: ¥750,000)
Fiscal Year 2013: ¥6,370,000 (Direct Cost: ¥4,900,000、Indirect Cost: ¥1,470,000)
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| Outline of Final Research Achievements |
The purpose of this research was to propose an algorithm to extract latent structure from imaging data. As an initial objective, we proposed an algorithm that automatically estimates filter width using hyper-parameter of MRF model, clarified correspondence between MRF model and reaction diffusion equation, and proposed algorithm to estimate hyper-parameter distribution. Furthermore, we developed the method to analytically evaluate distribution estimation, and evaluated the influence of downsampling of the image data.
We applied extraction of latent structure to analysis using MRF model of data in Earth and geological sciences. We also applied extraction of latent structure from the STM / STS data of the physical science, using LASSO which is a method based on sparse modeling.
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