Abstract. Volume segmentation is a relatively slow process and, in certain circumstances, the enormous amount of prior knowledge available is underused. Model-based liver segmentat...
Charles Florin, Nikos Paragios, Gareth Funka-Lea, ...
Given an m-dimensional surface in Rn , we characterize parametric curves in , which interpolate or approximate a sequence of given points pi and minimize a given energy functio...
contexts such as construction of abstractions, speed may be favored over completeness, so that undecidable theories (e.g., nonlinear integer arithmetic) and those whose decision pr...
We propose a Bayesian extension to the ad-hoc Language Model. Many smoothed estimators used for the multinomial query model in ad-hoc Language Models (including Laplace and Bayes-...
Hugo Zaragoza, Djoerd Hiemstra, Michael E. Tipping
Abstract. We present a method which computes optimized representations for non-convex polyhedra. Our method detects so-called redundant linear constraints in these representations ...
Christoph Scholl, Stefan Disch, Florian Pigorsch, ...