We propose a novel unsupervised learning framework for activity perception. To understand activities in complicated scenes from visual data, we propose a hierarchical Bayesian mod...
Coupling of cross-organizational business processes in electronic markets is a difficult and time-consuming task. In practice business processes are geographically distributed whic...
This paper describes an on-going effort to investigate problems and approaches for achieving Web-service-based, dynamic and collaborative e-learning. In this work, a Learning Cont...
Abstract-- Communication networks provide a larger flexibility with respect to the control design of large-scale interconnected systems by allowing the information exchange between...
Subsequence similarity matching in time series databases is an important research area for many applications. This paper presents a new approximate approach for automatic online s...