In enterprise data warehouses, different users in different business units often define their own application specific dimension hierarchies tailor made to their reporting and b...
Abstract— In this paper we present a dual-based decomposition method, called here the proximal center method, to solve distributed model predictive control (MPC) problems for cou...
Reacting to challenges that have been observed in humancomputer interaction (HCI) education, as well as the multidisciplinary design, science, and engineering underpinnings, we in...
D. Scott McCrickard, Christa M. Chewar, Jacob P. S...
Partially observable Markov decision processes (POMDPs) allow one to model complex dynamic decision or control problems that include both action outcome uncertainty and imperfect ...
Abstract. In this paper, we incorporated the global convex segmentation method and the split Bregman technique into the region-scalable fitting energy model. The new proposed metho...
Yunyun Yang, Chunming Li, Chiu-Yen Kao, Stanley Os...