We consider the problem of representing, in a space-efficient way, a function f : S → Σ such that any function value can be computed in constant time on a RAM. Specifically, ou...
We present a sampling strategy and rendering framework for intersectable models, whose surface is implicitly defined by a black box intersection test that provides the location a...
In this paper, we focus on the use of random projections as a dimensionality reduction tool for sampled manifolds in highdimensional Euclidean spaces. We show that geodesic paths ...
Our goal is to analyze regularized image reconstruction methods such as penalized likelihood with respect to the performance of the Channelized Hotelling Observer (CHO) in the tas...
Many problems in chemistry, robotics or molecular biology can be expressed as a Distance CSP4 . In this paper, we propose a specific methodology for tackling uncertainties in this...