Decentralized Markov Decision Processes (DEC-MDPs) are a popular model of agent-coordination problems in domains with uncertainty and time constraints but very difficult to solve...
When vectorizing for SIMD architectures that are commonly employed by today’s multimedia extensions, one of the new challenges that arise is the handling of memory alignment. Pr...
Proving ownership rights on outsourced relational databases is a crucial issue in today internet-based application environments and in many content distribution applications. In th...
This paper studies the input design problem for system identification where time domain constraints have to be considered. A finite Markov chain is used to model the input of the s...
Abstract—It has been recently shown that base station cooperation may yield great capacity improvement in downlink multiple antenna cellular networks. However, the proposed solut...