We present a new way to define the semantics of imperative synchronous languages by means of separating the control and the data flow. The control flow is defined by predicates th...
Within the task of collaborative filtering two challenges for computing conditional probabilities exist. First, the amount of training data available is typically sparse with resp...
Abstract. Imaging is a class of non-Bayesian methods for the revision of probability density functions originally proposed as a semantics for conditional logic. Two of these revisi...
The Principles of Fair Information Practice are almost three decades old and need to be broadened to take account of new technologies for collecting personal information such as d...
The output from a color imaging sensor, or apparent color, can change considerably due to illumination conditions and scene geometry changes. In this work we take into account the...