980 citations
- The University of TokyoJP131 papers
- Kyoto UniversityJP87 papers
- The University of OsakaJP69 papers
- Nagoya UniversityJP65 papers
- Centre National de la Recherche ScientifiqueFR56 papers
- Tokai UniversityJP56 papers
- Instituto de Astrofísica de CanariasES53 papers
- Tohoku UniversityJP50 papers
- Universidad de La LagunaES49 papers
- Universidad Complutense de MadridES48 papers
- Institute for High Energy PhysicsES47 papers
- Universitat de BarcelonaES47 papers
19 papers · 1 filter
An Efficient Algorithm for the Escherization Problem in the Polygon Representation
Yuichi Nagata, Shinji Imahori
In the Escherization problem, given a closed figure in a plane, the objective is to find a closed figure that is as close as possible to the input figure and tiles the plane. Koizu…
Optical Conductivity Study of Electron States in YbCuGe at High Pressures to 20 GPa
H. Okamura, M. Nagata, A. Tsubouchi +3
Optical conductivity [] of YbCuGe has been measured at external pressures () to 20 GPa, to study the evolution of electron hybridized states. At =0, $σ(…
Effective Lagrangian Approach to Top Decay via Flavor Changing Neutral Current
Zenro Hioki, Kazumasa Ohkuma, Akira Uejima
We study possible non-standard and couplings, which induce flavor-changing neutral-current decays of the top quark, in the effective-Lagrangian framework. The correspon…
Correlations in flavor-changing tqZ couplings constrained via experimental data
Zenro Hioki, Kazumasa Ohkuma, Akira Uejima
Possible non-standard tqZ couplings, where q=c or u, originated from general flavor-changing-neutral-current interactions are studied model-independently using the effective Lagran…
EmoSense: Computational Intelligence Driven Emotion Sensing via Wireless Channel Data
Yu Gu, Yantong Wang, Tao Liu +6
Emotion is well-recognized as a distinguished symbol of human beings, and it plays a crucial role in our daily lives. Existing vision-based or sensor-based solutions are either obs…
A Fast Content-Based Image Retrieval Method Using Deep Visual Features
Hiroki Tanioka
Fast and scalable Content-Based Image Retrieval using visual features is required for document analysis, Medical image analysis, etc. in the present age. Convolutional Neural Netwo…