?This paper presents a computational paradigm called Data-Driven Markov Chain Monte Carlo (DDMCMC) for image segmentation in the Bayesian statistical framework. The paper contribut...
The use of techniques for automating the generation of software test cases is very important as it can reduce the time and cost of this process. The latest methods for automatic g...
We consider the problem of semantic load shedding for continuous queries containing window joins on multiple data streams and propose a robust approach that is effective with the ...
For types of data visualization where the cost of producing images is high, and the relationship between the rendering parameters and the image produced is less than obvious, a vi...
We tackle the problem of object recognition using a Bayesian approach. A marked point process [1] is used as a prior model for the (unknown number of) objects. A sample is generat...