Ryo Kato

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For a set S of n points in the plane, a Manhattan network on S is a geometric network G(S) such that, for each pair of points in S, G(S) contains a rectilinear path between them of length equal to their distance in the L1-metric. The minimum Manhattan network problem is a problem of finding a Manhattan network of minimum length. Gud-mundsson, Levcopoulos,(More)
A variety of services utilizing users' positions have become available because of rapid advances in Global Positioning System (GPS) technologies. Since location information may reveal private information, preserving location privacy has become a significant issue. We proposed a dummy-based method of anonymizing location to protect this privacy in our(More)
Recent studies suggest that action video game players exhibit superior performance in visuospatial cognitive tasks compared with non-game players. However, the neural basis underlying this visuospatial cognitive performance advantage remains largely unknown. The present human behavioral and imaging study compared gray matter volume in action video game(More)
The " cvpaper.challenge " is a group composed of members from AIST, Tokyo Denki Univ. (TDU), and Univ. of Tsukuba that aims to systematically summarize papers on computer vision, pattern recognition, and related fields. For this particular review, we focused on reading the ALL 602 conference papers presented at the CVPR2015, the premier annual computer(More)
The majority of systemic sclerosis (SSc) patients have gastrointestinal tract involvement, but therapies of prokinetic agents are usually unsatisfactory. Patients are often compromised by the use of steroid; therefore, a surgical indication including fundoplication has been controversial. There is no report that advanced SSc with severe gastroesophageal(More)
The acoustic reflection technique noninvasively measures airway cross-sectional area vs. distance functions and uses a wave tube with a constant cross-sectional area to separate incidental and reflected waves introduced into the mouth or nostril. The accuracy of estimated cross-sectional areas gets worse in the deeper distances due to the nature of marching(More)