15 citations · 15 across the 1 of their papers we have counts for
5 papers
Flatness of location-scale-shape models under the Wasserstein metric
Ayumu Fukushi, Yoshinori Nakanishi-Ohno, Takeru Matsuda
In Wasserstein geometry, one-dimensional location-scale models are flat both intrinsically and extrinsically-that is, they are curvature-free as well as totally geodesic in the spa…
Compressed Sensing of Compton Profiles for Fermi Surface Reconstruction: Concept and Implementation
J. Otsuki, K. Yoshimi, Y. Nakanishi-Ohno +3
Compton scattering is a well-established technique that can provide detailed information about electronic states in solids. Making use of the principle of tomography, it is possibl…
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…
Exhaustive search for sparse variable selection in linear regression
Yasuhiko Igarashi, Hikaru Takenaka, Yoshinori Nakanishi-Ohno +3
We propose a K-sparse exhaustive search (ES-K) method and a K-sparse approximate exhaustive search method (AES-K) for selecting variables in linear regression. With these methods,…
Compressed sensing in scanning tunneling microscopy/spectroscopy for observation of quasi-particle interference
Yoshinori Nakanishi-Ohno, Masahiro Haze, Yasuo Yoshida +3
We applied a method of compressed sensing to the observation of quasi-particle interference (QPI) by scanning tunneling microscopy/spectroscopy to improve efficiency and save measu…