| Budget Amount *help |
¥3,640,000 (Direct Cost: ¥3,100,000、Indirect Cost: ¥540,000)
Fiscal Year 2010: ¥780,000 (Direct Cost: ¥600,000、Indirect Cost: ¥180,000)
Fiscal Year 2009: ¥780,000 (Direct Cost: ¥600,000、Indirect Cost: ¥180,000)
Fiscal Year 2008: ¥780,000 (Direct Cost: ¥600,000、Indirect Cost: ¥180,000)
Fiscal Year 2007: ¥1,300,000 (Direct Cost: ¥1,300,000)
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| Research Abstract |
We have extended the subspace methods to feature extraction methods by constrained approximation problems. The subspace methods are sorts of realizations of the constrained approximation framework. The subspace methods have the rank constraint, however, by replacing the constraint to the other constraints, feature extractors that have various properties can be realized. We also have proposed the subset kernel principal component analysis to avoid large calculations in kernelization.
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