— With the increasing reliance of complex real-world applications on composite web services assembled from independently developed component services, there is a growing need for...
Hongyu Sun, Samik Basu, Vasant Honavar, Robyn R. L...
—Inspired by the biological entities’ ability to achieve reciprocity in the course of evolution, this paper considers a conjecture-based distributed learning approach that enab...
The Grid paradigm of accessing heterogeneous distributed resources proved to be extremely effective, as many organizations are relying on Grid middlewares for their computational ...
Paolo Andreetto, Sergio Andreozzi, Antonia Ghisell...
Learning good image priors is of utmost importance for the study of vision, computer vision and image processing applications. Learning priors and optimizing over whole images can...
We propose an algorithm that simultaneously extracts
disparities and alpha matting information given a stereo
image pair. Our method divides the reference image into
a set of ov...
Michael Bleyer (Vienna University of Technology), ...