Insight to complex problems may be revealed when domain data sets are viewed or structured in new and innovative ways. Systems approaches to biomedical problems fundamentally invo...
Donald J. Johann, Michael D. McGuigan, Stanimire T...
Background: Translational research requires taking basic science observations and developing them into clinically useful tests and therapeutics. We have developed a process to dev...
Robert Kim, Francesca Demichelis, Jeffery Tang, Al...
Digital libraries are a core information technology. When the stored data is complex, e.g. high-resolution images or molecular protein structures, simple query types like the exac...
In this contribution we focus on the calibration of very long image sequences from a hand-held camera that samples the viewing sphere of a scene. View sphere sampling is important...
Reinhard Koch, Marc Pollefeys, Benno Heigl, Luc J....
Sparse coding—that is, modelling data vectors as sparse linear combinations of basis elements—is widely used in machine learning, neuroscience, signal processing, and statisti...
Julien Mairal, Francis Bach, Jean Ponce, Guillermo...