Abstract. This paper presents new results about digital straight segments, their recognition and related properties. They come from the study of the arithmetically based recognitio...
In reinforcement learning, an agent interacting with its environment strives to learn a policy that specifies, for each state it may encounter, what action to take. Evolutionary c...
Most research to date on energy minimization in DSP processors has focuses on hardware solution. This paper examines the software-based factors affecting performance and energy co...
Domain experts are frequently interested to analyze multiple related spatial datasets. This capability is important for change analysis and contrast mining. In this paper, a novel ...
Running multiple virtual networks, customized for different performance objectives, is a promising way to support diverse applications over a shared substrate. Despite being simpl...