We present a method for unsupervised discovery of abnormal occurrences of activities in multi-dimensional time series data. Unsupervised activity discovery approaches differ from ...
The process of understanding a source code in a high-level programming language involves complex computation. Given a piece of legacy code and a library of program plan templates, ...
This paper proposes a mobile ad hoc networking approach to detecting and querying events related to farm animals such as oestrus, animal diseases and decreased efficiency of pastu...
Due to the intrinsic subtlety and dynamics of eye movements, automated generation of natural and engaging eye motion has been a challenging task for decades. In this paper we pres...
Hegselmann and Krause have developed a simple yet powerful computational model for studying the opinion dynamics in societies of epistemically interacting truth-seeking agents. We...