— Cooperative distributed model predictive control has recently been shown to provide stabilizing feedback for plants composed of any finite number of dynamically coupled subsys...
Brett T. Stewart, Aswin N. Venkat, James B. Rawlin...
Most existing work uses dual decomposition and subgradient methods to solve Network Utility Maximization (NUM) problems in a distributed manner, which suffer from slow rate of con...
This paper proposes a novel descriptor, granularitytunable
gradients partition (GGP), for human detection.
The concept granularity is used to define the spatial and angular
unce...
Yazhou Liu (Harbin Institute of Technology), Shigu...
The main focus of this paper is to present a method of reusing motion captured data by learning a generative model of motion. The model allows synthesis and blending of cyclic moti...
Improving testability during the early stages of high-level synthesis has several benefits including reduced test hardware overheads, reduced test costs, reduced design iterations...
Saeed Safari, Amir-Hossein Jahangir, Hadi Esmaeilz...