Abstract. As the dynamicity of today's business environments keeps increasing, there is a need to continuously adapt business processes in order to respond to the changes in t...
Gabriel Hermosillo, Lionel Seinturier, Laurence Du...
To date, many active learning techniques have been developed for acquiring labels when training data is limited. However, an important aspect of the problem has often been neglect...
Many decentralized and peer-to-peer applications require some sort of data management. Besides P2P file-sharing, there are already scenarios (e.g. BRICKS project [3]) that need m...
We introduce a new type of query, called a real-time continuous query (RCQ), that captures the real-time requirements of processing data streams. We develop techniques to efficien...
Dhananjay Kulkarni, Chinya V. Ravishankar, Mitch C...
In this work we investigate the feasibility and effectiveness of unsupervised tissue clustering and classification algorithms for DTI data. Tissue clustering and classification ...