Despite much research in the area of wireless sensor networks in recent years, the programming of sensor nodes is still time-consuming and tedious. A new paradigm which seems to b...
Christoph Reinke, Nils Hoeller, Jana Neumann, Sven...
While low-dimensional image representations have been very popular in computer vision, they suffer from two limitations: (i) they require collecting a large and varied training se...
Backbones of propositional theories are literals that are true in every model. Backbones have been used for characterizing the hardness of decision and optimization problems. Moreo...
Chips manufactured in 90 nm technology have shown large parametric variations, and a worsening trend is predicted. These parametric variations make circuit optimization difficult ...
Jinjun Xiong, Vladimir Zolotov, Natesan Venkateswa...
— We present a global vector field computation algorithm in configuration spaces for smooth feedback motion planning. Our algorithm performs approximate cell decomposition in t...