25 citations · 139 across the 31 of their papers we have counts for
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eess.SP2018★ 25 cited
Bayesian Spectral Deconvolution Based on Poisson Distribution: Bayesian Measurement and Virtual Measurement Analytics (VMA)
Kenji Nagata, Yoh-ichi Mototake, Rei Muraoka +2
In this paper, we propose a new method of Bayesian measurement for spectral deconvolution, which regresses spectral data into the sum of unimodal basis function such as Gaussian or…
cond-mat.dis-nn2018
Statistical mechanical analysis of sparse linear regression as a variable selection problem
Tomoyuki Obuchi, Yoshinori Nakanishi-Ohno, Masato Okada +1
An algorithmic limit of compressed sensing or related variable-selection problems is analytically evaluated when a design matrix is given by an overcomplete random matrix. The repl…