As we move towards nanometer technology, manufacturing problems become overwhelmingly difficult to solve. Presently, optimization for manufacturability is performed at a post-synt...
Alessandra Nardi, Alberto L. Sangiovanni-Vincentel...
In the Markov decision process (MDP) formalization of reinforcement learning, a single adaptive agent interacts with an environment defined by a probabilistic transition function....
Abstract. This paper presents a novel dynamically reconfigurable hardware architecture for lossless compression and its optimization for space imagery. The proposed system makes us...
Abstract. Haplotype inference has relevant biological applications, and represents a challenging computational problem. Among others, pure parsimony provides a viable modeling appr...
This paper proposes to incorporate boundary curvature ratio, region homogeneity and boundary smoothness into a single new merging criterion to improve the oversegmentation of mark...
X. He, N. H. C. Yung, K. P. Chow, Francis Y. L. Ch...