For many computer vision problems, it is very important to produce the groundtruth data. Manual data labeling is labor-intensive and prone to the human errors, whereas fully autom...
This paper describes a new approach on how to teach a robot everyday manipulation tasks under the “Learning from Observation” framework. Most of the approaches so far assume t...
Koichi Ogawara, Jun Takamatsu, Hiroshi Kimura, Kat...
Abstract Business performance modeling and model-driven business transformation are two research directions that are attracting much attention lately. In this study, we propose an ...
Themis Palpanas, Pawan Chowdhary, George A. Mihail...
Design space exploration plays an essential role in the system-level design of embedded systems. It is imperative therefore to have efficient and effective exploration tools in th...
Abstract. Experimenting and building integrated, operational systems in computational vision poses both theoretical and practical challenges, involving methodologies from control t...