The Local Outlier Factor (LOF) is a very powerful anomaly detection method available in machine learning and classification. The algorithm defines the notion of local outlier in...
We developed two visual displays for providing awareness of environmental audio to deaf individuals. Based on fieldwork with deaf and hearing participants, we focused on supportin...
F. Wai-ling Ho-Ching, Jennifer Mankoff, James A. L...
In this paper, we propose a tone mapping operator based on a multiscale representation pattern and on thresholds of detection contrast computed for local adaptation luminances. Th...
Pattern matching and analysis over network data streams is increasingly becoming an essential primitive of network monitoring systems. It is a fundamental part of most intrusion d...
People use their awareness of others' temporal patterns to plan work activities and communication. This paper presents algorithms for programatically detecting and modeling t...