We present a machine learning framework that automatically generates a model set of landmarks for some class of registered 3D objects: here we use human faces. The aim is to repla...
Background: Recent approaches for predicting the three-dimensional (3D) structure of proteins such as de novo or fold recognition methods mostly rely on simplified energy potentia...
This paper presents a complete modeling system that extracts complex building structures with irregular shapes and surfaces. Our modeling approach is based on the use of airborne L...
Configurable process models integrate different variants of a business process into a single model. Through configuration users of such models can then combine the variants to deri...
Florian Gottschalk, Teun A. C. Wagemakers, Monique...
Variability models represent the common and variable features of products in a product line. Several variability modeling languages have been proposed in academia and industry; ho...
Thorsten Berger, Steven She, Rafael Lotufo, Andrze...