This paper presents a data-centric modeling and predictive control approach for nonlinear hybrid systems. System identification of hybrid systems represents a challenging problem b...
As information technology supports more aspects of modern life, digital access has become an important tool for developing regions to lift themselves from poverty. Though broadban...
Abstract We are developing an integrated algorithm analysis and mapping environment particularly tailored for signal processing applications on Adaptive Computing Systems ACS. Our ...
This paper describes one of the first attempts to model the temporal structure of massive data streams in real-time using data stream clustering. Recently, many data stream clust...
Mining informative patterns from very large, dynamically changing databases poses numerous interesting challenges. Data summarizations (e.g., data bubbles) have been proposed to c...