It is widely accepted that the use of more compact representations than lookup tables is crucial to scaling reinforcement learning (RL) algorithms to real-world problems. Unfortun...
Satinder P. Singh, Tommi Jaakkola, Michael I. Jord...
This paper presents work in progress to construct a model for guiding and evaluating the quality of featureoriented models, called FMQ. Product line concepts are becoming increasi...
- In recent years, computing becomes more mobile and pervasive; these changes imply that applications and services must be aware of and adapt to their changing contexts in highly d...
Mohammad Rezwanul Huq, Nguyen Thi Thanh Tuyen, You...
We present a nearly automatic graph-based segmentation method for patient specific modeling of the aortic arch and carotid arteries from CTA scans for interventional radiology simu...
A drawback of the commonly used single source computed tomography systems (CT) is that different materials might show very similar attenuation at any selected radiation energy. How...
Stefan C. Saur, Hatem Alkadhi, Luca Regazzoni, Sim...