Differential quantities, including normals, curvatures, principal directions, and associated matrices, play a fundamental role in geometric processing and physics-based modeling. ...
We provide precise high-level models for eight fundamental service interaction patterns, together with schemes for their composition into complex service-based business process int...
Gradient boosting is a flexible machine learning technique that produces accurate predictions by combining many weak learners. In this work, we investigate its use in two applica...
Bin Zhang, Abhinav Sethy, Tara N. Sainath, Bhuvana...
Massive amounts of useful data are stored and processed in ad hoc formats for which common tools like parsers, printers, query engines and format converters are not readily availa...
Artem Gleyzer, David Walker, Kathleen Fisher, Mary...
The paper describes the different phases and subdomains of process modelling and their needs for conceptual and linguistic support, and in what forms. We group the relevant factor...