Compressive sensing (CS) is an emerging field based on the revelation that a small collection of linear projections of a sparse signal contains enough information for stable, sub-N...
Dror Baron, Shriram Sarvotham, Richard G. Baraniuk
A weakness of classical Markov decision processes (MDPs) is that they scale very poorly due to the flat state-space representation. Factored MDPs address this representational pro...
A myriad of recent activities can be seen towards dynamic workflow composition for processing complex and data intensive problems. Meanwhile, the simultaneous emergence of the gri...
David Chiu, Sagar Deshpande, Gagan Agrawal, Rongxi...
This paper presents a case study concerning the challenges and requirements posed by next generation language resources, realized as an overall model of open, distributed and coll...
Federico Calzolari, Eva Sassolini, Manuela Sassi, ...
Wide-area service replication is becoming increasingly common, with the emergence of new operational models such as content delivery networks and computational grids. This paper d...
Bogdan C. Popescu, Bruno Crispo, Andrew S. Tanenba...