We propose a Gaussian process (GP) framework for robust inference in which a GP prior on the mixing weights of a two-component noise model augments the standard process over laten...
As an emerging technology, sensor networks provide the ability to accurately monitor the characteristics of wide geographical areas over long periods of time. The lifetime of indi...
This paper introduces a pattern for almost compositional functions over recursive data types, and over families of mutually recursive data types. Here "almost compositional&q...
The plenoptic function (Adelson and Bergen, 91) describes the visual information available to an observer at any point in space and time. Samples of the plenoptic function (POF) a...
This paper proposes GenericDiff, a general framework for model comparison. The main idea is to separate the specification of domain-specific model properties and syntax from the g...