Traditional activities change in surprising ways when computermediated communication becomes a component of the activity system. In this descriptive study, we leverage two perspec...
This paper explores the possibility of using low-level activity spotting for daily routine recognition. Using occurrence statistics of lowlevel activities and simple classifiers b...
We present a method for unsupervised discovery of abnormal occurrences of activities in multi-dimensional time series data. Unsupervised activity discovery approaches differ from ...
This paper describes a university-based Forensics Training Center (FTC) established by a Department of Justice grant for the purpose of improving the ability of state and local la...
OWL ontologies are complex computational artifacts that are intimately connected with conceptual information and with application issues that are not easily explicable in the conte...