In this paper, we present a new shadow mapping technique that improves upon the quality of perspective and uniform shadow maps. Our technique uses a perspective transform specifi...
Michael Wimmer, Daniel Scherzer, Werner Purgathofe...
Space constrained optimization problems arise in a multitude of important applications such as data warehouses and pervasive computing. A typical instance of such problems is to s...
Themistoklis Palpanas, Nick Koudas, Alberto O. Men...
Despite significant research on state-space reductions, the poor scalability of model checking for reasoning about behavioral models of large, complex systems remains the chief ob...
Matthew B. Dwyer, Robby, Xianghua Deng, John Hatcl...
Typical domains used in machine learning analyses only partially cover the complexity space, remaining a large proportion of problem difficulties that are not tested. Since the ac...
This paper describes a novel from-region visibility algorithm, the unique properties of which allow conducting remote walkthroughs in very large virtual environments, without prepr...
Vladlen Koltun, Yiorgos Chrysanthou, Daniel Cohen-...