This contribution addresses the problem of obtaining photorealistic 3D models of a scene from images alone with a structure-from-motion approach. The 3D scene is observed from mul...
Traditional flow volumes construct an explicit geometrical or parametrical representation from the vector field. The geometry is updated interactively and then rendered using an u...
An important theoretical tool in machine learning is the bias/variance decomposition of the generalization error. It was introduced for the mean square error in [3]. The bias/vari...
Commercial aerial imagery websites, such as Google Maps, MapQuest, Microsoft Virtual Earth, and Yahoo! Maps, provide high- seamless orthographic imagery for many populated areas, ...
Peter Pesti, Jeremy Elson, Jon Howell, Drew Steedl...
This work focuses on congestion-driven placement of standard cells into rows in the fixed-die context. We summarize the stateof-the-art after two decades of research in recursive ...
Andrew E. Caldwell, Andrew B. Kahng, Igor L. Marko...