In recent years, while search engines have become more and more powerful, several specialized search engines have been developed for different domains (e.g. library services, serv...
This paper presents a general, trainable system for object detection in unconstrained, cluttered scenes. The system derives much of its power from a representation that describes a...
—The increase in computational power of off-the-shelf hardware offers more and more advantageous tradeoffs among efficiency, cost and availability, thus enhancing the feasibil...
Giovanni Agosta, Alessandro Barenghi, Fabrizio De ...
Planning under uncertainty is an important and challenging problem in multiagent systems. Multiagent Partially Observable Markov Decision Processes (MPOMDPs) provide a powerful fr...
As quality of service (QoS)-enabled component middleware technologies gain widespread acceptance to build distributed real-time and embedded (DRE) systems, it becomes necessary fo...
Gan Deng, Ming Xiong, Aniruddha S. Gokhale, George...