Markov Random Field, or MRF, models are a powerful tool for modeling images. While much progress has been made in algorithms for inference in MRFs, learning the parameters of an M...
We have evaluated an adaptive hypermedia system, PUSH, and compared it to a non-adaptive variant of the same system. Based on an inferred information-seeking task, PUSH chooses wh...
This paper deals with a new pricing approach in utility fair networks, where the user’s application is associated with a utility function. We allow users to have concave as well...
A key challenge for distributed real-time and embedded (DRE) middleware is maintaining both system reliability and desired real-time performance in unpredictable environments wher...
A key challenge for distributed real-time and embedded (DRE) middleware is maintaining both system reliability and desired real-time performance in unpredictable environments wher...