In deformable model segmentation, the geometric training process plays a crucial role in providing shape statistical priors and appearance statistics that are used as likelihoods. ...
Qiong Han, Derek Merck, Josh Levy, Christina Villa...
Recent work has shown that one can learn the structure of Gaussian Graphical Models by imposing an L1 penalty on the precision matrix, and then using efficient convex optimization...
Bayesian Networks, BNs, are suitable for mixed-initiative dialog modeling allowing a more flexible and natural spoken interaction. This solution can be applied to identify the in...
—Exploiting mobility to enhance the performance of wireless sensor networks (WSNs), in terms of connectivity, coverage, and lifetime elongation, has recently been the focus of se...
Virtual worlds may be enabling technologies for the next generation of business models, practices and innovations in service. We situate our research within the field of service s...