We propose a novel a framework for deriving approximations for intractable probabilistic models. This framework is based on a free energy (negative log marginal likelihood) and ca...
This paper is about a web-based system for collaboration and sharing of information among medical professionals. The system, originally targeted for ophthalmologists, has a generi...
Tatjana M. Burkow, Kristian Fossen, Line Lundvoll ...
The usage and service options of a pubic network generally differ from a private (enterprise or home) network and consequently, the two networks are often configured differently. ...
We present a new approach for the coarse segmentation of tubular structures in 3D image data. Our algorithm, which requires only few initial values and minimal user interaction, c...
We introduce a class of nonstationary covariance functions for Gaussian process (GP) regression. Nonstationary covariance functions allow the model to adapt to functions whose smo...