Tomoki Kobayashi

Learn More
SUMMARY Many kinds of data can be represented as a network or graph. It is crucial to infer the latent structure underlying such a network and to predict unobserved links in the network. Mixed Membership Stochastic Blockmodel (MMSB) is a promising model for network data. Latent variables and unknown parameters in MMSB have been estimated through Bayesian(More)
The aim of this study was to create a new phantom for a 3 Tesla (3T) magnetic resonance imaging (MRI) device for the calculation of the apparent diffusion coefficient (ADC) using diffusion‑weighted imaging (DWI), and to mimic the ADC values of normal and tumor tissues at various temperatures , including the physiological body temperature of 37˚C. The(More)
Many kinds of data can be represented as a network or graph. It is crucial to infer the latent structure underlying such a network and to predict unobserved links in the network. Mixed Membership Stochastic Blockmodel (MMSB) is a promising model for network data. Latent variables and unknown parameters in MMSB have been estimated through Bayesian inference(More)
We propose a method of expression learning by imitating the process of a baby¿s learning process. A baby cannot know what an expression means but he/she can be affected by the action that people do to him or her, and then he/she remembers this facial expression. In our system, a robot starts learning facial expression by recognizing human actions. Our(More)
  • 1