As mobile devices become location-aware, they offer the promise of powerful new applications. While computers work with physical locations like latitude and longitude, people thin...
Changqing Zhou, Pamela J. Ludford, Dan Frankowski,...
Learning patterns of human behavior from sensor data is extremely important for high-level activity inference. We show how to extract a person’s activities and significant plac...
Security is an important concern in providing the infrastructure for the implementation of general purpose computational grids. However, most grid implementations focus their secu...
— This paper addresses the problem of classifying places in the environment of a mobile robot into semantic categories. We believe that semantic information about the type of pla...
In this paper we describe the use of collaborative filtering to make predictions about place using data from custom instant messaging status. Previous research has shown accurate ...