Abstract. We present a new method for the fast and robust computation of information theoretic similarity measures for alignment of multi-modality medical images. The proposed meth...
Hari Sundar, Dinggang Shen, George Biros, Chenyang...
In this paper, we present a novel multi-agent learning paradigm called team-partitioned, opaque-transition reinforcement learning (TPOT-RL). TPOT-RL introduces the concept of usin...
Dynamically reconfigurable co-processors (DRCs) are interesting design alternatives when both flexibility and performance are concerns. However, it is difficult to study the perfor...
This article focuses on algorithms for fast computation of the Euclidean distance between a query point and a subdivision surface. The analyzed algorithms include uniform tessella...
This paper provides a formal foundation for distributed workfiow executions. The state chart formalism is adapted to the needs of a workflow model in order to establish a basis for...