Frequent elements and top-k queries constitute an important class of queries for data stream analysis applications. Certain applications require answers for both frequent elements...
As users interact with the world and their peers through their computers, it is becoming important to archive and later search the information that they have viewed. We present De...
Oren Laadan, Ricardo A. Baratto, Dan B. Phung, Sha...
Real-time embedded systems are increasingly being networked. In distributed real-time embedded applications, e.g., electric grid management and command and control applications, i...
Traditional co-clustering methods identify block structures from static data matrices. However, the data matrices in many applications are dynamic; that is, they evolve smoothly o...
Kernel machines have been shown as the state-of-the-art learning techniques for classification. In this paper, we propose a novel general framework of learning the Unified Kernel ...