We present an algorithm for compressing 2D vector fields that preserves topology. Our approach is to simplify the given data set using constrained clustering. We employ different...
Suresh K. Lodha, Jose C. Renteria, Krishna M. Rosk...
Abstract. Markov Random Fields (MRFs) are a popular and wellmotivated model for many medical image processing tasks such as segmentation. Discriminative Random Fields (DRFs), a dis...
Chi-Hoon Lee, Mark Schmidt, Albert Murtha, Aalo Bi...
Reasoning about events or temporal aspects is fundamental for modeling geographic phenomena. This work concerns the analysis of events as configurations of temporal intervals. It...
This paper presents a series expansion for the evolution of a class of nonlinear systems characterized by constant input vector fields. We present a series expansion that can be c...
We present a shape deformation approach which preserves volume, prevents self-intersections and allows for exact control of the deformation impact. The volume preservation and prev...
Wolfram von Funck, Holger Theisel, Hans-Peter Seid...