Single-user, desktop-based computer applications are pervasive in our daily lives and work. The prospect of using these applications with innovative interaction systems, like mult...
Accurately locating users in a wireless environment is an important task for many pervasive computing and AI applications, such as activity recognition. In a WiFi environment, a m...
Sinno Jialin Pan, James T. Kwok, Qiang Yang, Jeffr...
Machine learning approaches offer some of the most cost-effective approaches to building predictive models (e.g., classifiers) in a broad range of applications in computational bio...
We present spatio-temporal feature descriptors that can be inferred from video and used as building blocks in action recognition systems. They capture the evolution of ``elementar...
This study attempts to find a theoretical basis for the development of digital cities. The ultimate function of a digital city is to support navigation in an environment. Navigatio...
Victor V. Kryssanov, Masayuki Okabe, Koh Kakusho, ...