The advances of video technology and video-related applications demand appropriate video semantic models for representing video data and their semantics, and supporting powerful s...
Mining graph databases for frequent subgraphs has recently developed into an area of intensive research. Its main goals are to reduce the execution time of the existing basic algo...
This paper describes a new approach for identity recognition using video sequences. While most image and video recognition systems discriminate identities using physical informati...
As data stream management systems (DSMSs) become more and more popular, there is an increasing need to protect such systems from adversaries. In this paper we present an approach ...
We present a parallel version of BIRCH with the objective of enhancing the scalability without compromising on the quality of clustering. The incoming data is distributed in a cyc...