We present an output-sensitive occlusion culling algorithm for densely occluded dynamic scenes where both the viewpoint and objects move arbitrarily. Our method works on a regular ...
The MILAN project, a joint effort involving Arizona State University and New York University, has produced and validated fundamental techniques for the realization of efficient, r...
The heterogeneous parallel processing community has long been struggling to bring its approach to computation into the mainstream. One major impediment is that no popular programm...
To improve the predictions in dynamic data driven simulations (DDDAS) for subsurface problems, we propose the permeability update based on observed measurements. Based on measurem...
Craig C. Douglas, Yalchin Efendiev, Richard E. Ewi...
cross-linguistically valid claims about which discourses are easier to process, abstracting away from specific algorithms for anaphora resolution or anaphora generation (although m...
Massimo Poesio, Rosemary Stevenson, Barbara Di Eug...