This paper presents a data-centric modeling and predictive control approach for nonlinear hybrid systems. System identification of hybrid systems represents a challenging problem b...
Empirical risk minimization offers well-known learning guarantees when training and test data come from the same domain. In the real world, though, we often wish to adapt a classi...
John Blitzer, Koby Crammer, Alex Kulesza, Fernando...
In order to describe anisotropy in image processing models or physical measurements, matrix fields are a suitable choice. In diffusion tensor magnetic resonance imaging (DT-MRI),...
Luis Pizarro, Bernhard Burgeth, Michael Breuß...
Our experience with Internet-based scientific collaboratories indicates that they need to be user-extensible, allow users to add tools and objects dynamically to shared workspaces...
Jang Ho Lee, Atul Prakash, Trent Jaeger, Gwobaw Wu
Although theoretical results for several algorithms in many application domains were presented during the last decades, not all algorithms can be analyzed fully theoretically. Exp...