In this paper, we introduce a generic framework for semi-supervised kernel learning. Given pairwise (dis-)similarity constraints, we learn a kernel matrix over the data that respe...
As system integration evolves and tighter design constraints must be met, it becomes necessary to account for the non-ideal behavior of all the elements in a system. For high-spee...
Carlos P. Coelho, Luis Miguel Silveira, Joel R. Ph...
— This paper is based on a comprehensive dynamic mathematical model (Copernicus) of vascular bubble formation and growth during and after decompression from a dive. The model des...
Le Feng, Christian R. Gutvik, Tor Arne Johansen, D...
We consider the self-calibration problem for the generic imaging model that assigns projection rays to pixels without a parametric mapping. In this paper, we consider the central ...
Srikumar Ramalingam, Peter F. Sturm, Suresh K. Lod...
Wireless sensor networks (WSNs) are hard to program due to unconventional programming models used to satisfy stringent resource constraints. The common event-driven concurrent pro...
Vinaitheerthan Sundaram, Patrick Th. Eugster, Xian...