The structures of space and time are identified as essential for the realization of cognitive systems. It is suggested that the omnipresence of space and time may have been respons...
Our goal is to fit the multiple instances (or structures) of a generic model existing in data. Here we propose a novel model selection scheme to estimate the number of genuine str...
Location models are data structures or knowledge bases used in Ubiquitous Computing for representing and reasoning about spatial relationships between so-called smart objects, i.e....
Clustering by document concepts is a powerful way of retrieving information from a large number of documents. This task in general does not make any assumption on the data distrib...
Background: This paper describes the design of an event ontology being developed for application in the machine understanding of infectious disease-related events reported in natu...
Ai Kawazoe, Hutchatai Chanlekha, Mika Shigematsu, ...