Abstract. Context-awareness can improve the usefulness of automated reminders. However, context-aware reminder applications have yet to be evaluated throughout a person’s daily l...
Timothy Sohn, Kevin A. Li, Gunny Lee, Ian E. Smith...
We present an approach to vision-based person detection in robotic applications that integrates top down template matching with bottom up classifiers. We detect components of the ...
The ATRIUM project aims to the automatic detection of threats hidden under clothes using millimetre-wave imaging. We describe a simulator of realistic millimetre-wave images and a...
Ultimate DDDAS success demands that DDDAS simulations be increasingly reconfigurable and adaptable to a growing variety of runtime sensor feedback. Because we expect a simulation...
David C. Brogan, Paul F. Reynolds Jr., Robert G. B...
In this paper, we propose a new machine learning approach based on AFS (Axiomatic Fuzzy Sets) fuzzy logic, in attempt to provide a better model with interpretability. First, we wil...