While traditional algorithms concern positive associations between binary or quantitative attributes of databases, this paper focuses on mining both positive and negative fuzzy ass...
Peng Yan, Guoqing Chen, Chris Cornelis, Martine De...
In this paper, we present a probabilistic framework for automatic detection and tracking of objects. We address the data association problem by formulating the visual tracking as ...
The NSF-fundedi research described in this paper focuses on the development of automated software tools for improving Web accessibility for older adults. The Web offers great prom...
This paper reports on Korean Word Associations (KorWA) which were collected to construct a semantic network for Korean language. An approach of graph representation and network an...
Profiling Internet backbone traffic is becoming an increasingly hard problem since users and applications are avoiding detection using traffic obfuscation and encryption. The key ...
Marios Iliofotou, Brian Gallagher, Tina Eliassi-Ra...