Shiro Ikeda
Shiro Ikeda
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"cross validation"
Accelerating cross-validation with total variation and its application to super-resolution imaging
We develop an approximation formula for the cross-validation error (CVE) of a sparse linear regression penalized by $\ell_1$-norm and total variation terms, which is based on a perturbative expansion utilizing the largeness of both the data …
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