Network data models are widely used to describe the connectivity between spatial features in GIS architectures. Recent applications demand that such models are editable in multius...
Petko Bakalov, Erik G. Hoel, Wee-Liang Heng, Vassi...
Road network data is often incomplete, making it hard to perform network analysis. This paper discusses the problem of extending partial road networks with reasonable links, using...
Boris Aronov, Kevin Buchin, Maike Buchin, B. Janse...
In digital humanities projects, particularly for historical research and cultural heritage, GIS has played an increasingly important role. However, most implementations have conce...
Fredric C. Gey, Ryan Shaw, Ray R. Larson, Barry Pa...
While discriminative training (e.g., CRF, structural SVM) holds much promise for machine translation, image segmentation, and clustering, the complex inference these applications ...
Visualization and analysis of the micro-architecture of brain parenchyma by means of magnetic resonance imaging is nowadays believed to be one of the most powerful tools used for ...