This paper presents a framework for multiresolution compression and geometric reconstruction of arbitrarily dimensioned data designed for distributed applications. Although being ...
We give new algorithms for learning halfspaces in the challenging malicious noise model, where an adversary may corrupt both the labels and the underlying distribution of examples....
Adam R. Klivans, Philip M. Long, Rocco A. Servedio
Software evolution research has recently focused on new development paradigms, studying whether laws found in more classic development environments also apply. Previous works have...
After thirty-plus years of making small “mid-course corrections” types of changes to the support paradigm, many on the Iowa State University campus thought it was time to make...
This paper presents an automatic method of creating surface models at several levels of detail from an original polygonal description of a given object. Representing models at var...